BibTeX entries@UNPUBLISHED{adt,
author = {Jeremy Gibbons},
title = {Unfolding Abstract Datatypes},
note = {Submitted for publication},
month = JAN,
year = {2008},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/adt.pdf},
abstract = {One of the most fundamental tools in the programmer's toolbox is the abstract datatype. However, abstract datatypes are not widely used in functional programming, perhaps because they are not subject to familiar proof methods such as equational reasoning and induction~ in essence, because they are a form of codata rather than a form of data. We show that proof methods for corecursive programs are the appropriate techniques to use. In particular, building on established work on final coalgebra semantics for objectoriented programs, we show that the reasoning principles of unfold operators are perfectly suited for the task. We illustrate with solutions to two recent problems in the literature.}
}
@INPROCEEDINGS{wsrfmodeling,
author = {Tianyi Zang and Radu Calinescu and Steve Harris and Andrew Tsui and Marta Kwiatkowska and Jeremy Gibbons and Jim Davies and Peter Maccallum and Carlos Caldas},
title = {{WSRF}Based Modeling of Clinical Trial Information for Collaborative Cancer Research},
booktitle = {8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid08)},
note = {To appear},
year = 2008,
month = MAY,
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/wsrfmodeling.pdf},
abstract = {The CancerGrid consortium is developing openstandards cancer informatics to address the challenges posed by the modern cancer clinical trials. This paper presents a serviceoriented software paradigm implemented in CancerGrid to derive clinical trial information management systems for collaborative cancer research across multiple institutions. Our proposal is founded on a combination of a clinical trial (meta)model and WSRF (Web Services Resource Framework),and is currently being evaluated for use in early phase trials. Although primarily targeted at cancer research, our approach is readily applicable to other areas for which a similar information model is available.}
}
@ARTICLE{iterator,
author = {Jeremy Gibbons and Bruno C. d. S. Oliveira},
title = {The Essence of the {I}terator Pattern},
journal = {Submitted for publication},
year = {2007},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/iterator.pdf},
note = {Revised (December 2007) version of \cite{iteratormsfp}},
abstract = {The \textsc{Iterator} pattern gives a clean interface for elementbyelement access to a collection. Imperative iterations using the pattern have two simultaneous aspects: \emph{mapping} and \emph{accumulating}. Various existing functional iterations model one or other of these, but not both simultaneously. We argue that McBride and Paterson's \emph{applicative functors}, and in particular the corresponding \emph{traverse} operator, do exactly this, and therefore capture the essence of the \textsc{Iterator} pattern. We present some axioms for traversal, and illustrate with a simple example, the \emph{wordcount} problem.}
}
@INPROCEEDINGS{icegov,
author = {Charles Crichton and Jim Davies and Jeremy Gibbons and Steve Harris and Aadya Shukla},
title = {Semantics Frameworks for eGovernment},
booktitle = {First International Conference on Theory and Practice of Electronic Governance},
year = {2007},
editor = {Tomasz Janowski and Theresa Pardo},
address = {Macau},
month = DEC,
organization = {International Institute for Software Technology, United Nations University},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/icegov.pdf},
abstract = {This paper explains how semantic frameworks can be used to support successful eGovernment initiatives by connecting system design to a shared understanding of interactions and processes. It shows how metadata standards and repositories can be used to establish and maintain such an understanding, and how they can be used in the automatic generation and instantiation of components and services. It includes an account of a successful implementation at an international level, and a brief review of related approaches.}
}
@UNPUBLISHED{cufp2007,
author = {Jeremy Gibbons},
title = {Report on {F}ourth {W}orkshop on ``{C}ommercial {U}sers of {F}unctional {P}rogramming''},
note = {Oxford University Computing Laboratory},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/cufp2007.pdf},
month = DEC,
year = {2007},
abstract = {The goal of the \textit{Commercial Users of Functional Programming} series of workshops is ``to build a community for users of functional programming languages and technology''. The fourth workshop in the series took place in Freiburg, Germany on 4th October 2007, colocated as usual with the \textit{International Conference on Functional Programming}. The workshop is flourishing, having grown from an intimate gathering of 25 people in Snowbird in 2004, through 40 in Tallinn in 2005 and 57 in Portland in 2006, to 104 registered participants (and more than a handful of casual observers) this time. \par For the first time this year, the organisers had the encouraging dilemma of receiving more offers of presentations than would fit in the available time. The eventual schedule included an invited talk by Xavier Leroy, eleven contributed presentations, and an energetic concluding discussion. Brief summaries of each appear below.}
}
@UNPUBLISHED{parametric,
author = {Jeremy Gibbons and Ross Paterson},
title = {Parametric DatatypeGenericity},
note = {Submitted for publication},
month = JUL,
year = {2007},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/parametric.pdf},
abstract = {Datatypegeneric programs are programs that are parametrized by a \emph{datatype} or \emph{type functor}. There are two main styles of datatypegeneric programming: the \emph{Algebra of Programming} approach, characterized by structured recursion operators parametrized by a shape functor, and the \emph{Generic Haskell} approach, characterized by case analysis over the structure of a datatype. We show that the former enjoys a kind of parametricity, relating the behaviours of generic functions at different types; in contrast, the latter is more ad~hoc, with no coherence required or provided between the various clauses of a definition.}
}
@ARTICLE{bpmncsp,
author = {Peter Y.H. Wong and Jeremy Gibbons},
title = {A Process Semantics for {BPMN}},
journal = {Draft},
year = {2007},
url = {http://www.comlab.ox.ac.uk/peter.wong/pub/bpmnsem.pdf},
abstract = {Business Process Modelling Notation (BPMN), developed by the Business Process Management Initiative (BPMI), intends to bridge the gap between business process design and implementation. However, the specification of the notation does not include a formal semantics. This paper shows how a subset of the BPMN can be given a process semantics in Communicating Sequential Processes. Such a semantics allows developers to formally analyse and compare BPMN diagrams. A realistic example of a complex business process is included. }
}
@INPROCEEDINGS{cgmda,
author = {Radu Calinescu and Steve Harris and Jeremy Gibbons and Jim Davies and Igor Toujilov and Sylvia Nagl},
title = {ModelDriven Architecture for Cancer Research},
booktitle = {Software Engineering and Formal Methods},
year = 2007,
month = SEP,
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/cgmda.pdf},
abstract = {It is a common phenomenon for research projects to collect and analyse valuable data using adhoc information systems. These costlytobuild systems are often composed of incompatible variants of the same modules, and record data in ways that prevent any meaningful result analysis across similar projects. We present a framework that uses a combination of formal methods, modeldriven development and serviceoriented architecture (SOA) technologies to automate the generation of data management systems for cancer clinical trial research, an area particularly affected by these problems. The SOA solution generated by the framework is based on an information model of a cancer clinical trial, and comprises components for both the collection and analysis of cancer research data, within and across clinical trial boundaries. While primarily targeted at cancer research, our approach is readily applicable to other areas for which a similar information model is available.}
}
@INPROCEEDINGS{uto,
author = {Michael Anthony Smith and Jeremy Gibbons},
title = {Unifying Theories of Objects},
crossref = {ifm2007},
pages = {599618},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/uto.pdf},
abstract = {We present an approach to modelling AbadiCardellistyle object calculi as UTP \emph{designs}. Here we provide a core object calculus with an operational \emph{smallstep evaluation rule} semantics, and a corresponding UTP model with a denotational \emph{relational predicate} semantics. For clarity, the UTP model is defined in terms of an operand stack, which is used to store the results of subprograms. Models of a less operational nature are briefly discussed. The consistency of the UTP model is demonstrated by a structural induction proof over the operations of the core object calculus. Overall, our UTP model is intended to provide facilities for encoding both objectbased and classbased languages.}
}
@PROCEEDINGS{ifm2007,
title = {Integrated Formal Methods},
booktitle = {Integrated Formal Methods},
year = {2007},
editor = {Jim Davies and Jeremy Gibbons},
volume = {4591},
series = {Lecture Notes in Computer Science},
publisher = {SpringerVerlag},
image = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/ifm2007.jpg},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/ifm2007preface.pdf},
abstract = {The design and analysis of computing systems presents a significant challenge:
systems need to be understood at many different levels of abstraction, and examined
from many different perspectives. Formal methodslanguages, tools,
and techniques with a sound, mathematical basiscan be used to develop a
thorough understanding, and to support rigorous examination.
\par
Further research into effective integration is required if these methods are
to have a significant impact outside academia. The Integrated Formal Methods
(IFM) series of conferences seeks to promote that research, to bring together
the researchers carrying it out, and to disseminate the results of that research
among the wider academic and industrial community.
\par
Earlier meetings in the series were held at: York (1999); Dagstuhl (2000);
Turku (2002); Kent (2004); Eindhoven (2005). IFM 2007 is the largest to date,
with 32 technical papers (from 85 submissions), 3 invited talks, 3 workshops,
and a tutorial. The success of the series reflects the enthusiasm and efforts of
the IFM community, and the organisers would like to thank the speakers, the
committee, and the reviewers for their contributions.}
}
@INPROCEEDINGS{dgp,
author = {Jeremy Gibbons},
title = {DatatypeGeneric Programming},
crossref = {ssdgp},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/dgp.pdf},
abstract = {\emph{Generic programming} aims to increase the flexibility of
programming languages, by expanding the possibilities for
parametrization~ ideally, without also expanding the possibilities
for uncaught errors. The term means different things to different
people: \emph{parametric polymorphism}, \emph{data abstraction},
\emph{metaprogramming}, and so on. We use it to mean polytypism,
that is, parametrization by the \emph{shape} of data structures
rather than their contents. To avoid confusion with other uses, we
have coined the qualified term \emph{datatypegeneric programming}
for this purpose. In these lecture notes, we expand on the
definition of datatypegeneric programming, and present some examples
of datatypegeneric programs. We also explore the connection with
\emph{design patterns} in objectoriented programming; in particular,
we argue that certain design patterns are just higherorder
datatypegeneric programs.}
}
@PROCEEDINGS{ssdgp,
title = {Spring School on DatatypeGeneric Programming},
booktitle = {Spring School on DatatypeGeneric Programming},
year = {2007},
editor = {Roland Backhouse and Jeremy Gibbons and Ralf Hinze and Johan Jeuring},
volume = {4719},
series = {Lecture Notes in Computer Science},
publisher = {SpringerVerlag},
image = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/ssdgp.jpg},
doi = {10.1007/9783540767862},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/ssdgppreface.pdf},
abstract = {A leitmotif in the evolution of programming paradigms has been the level and extent of parametrisation that is facilitated~ the socalled \emph{genericity} of the paradigm. The sorts of parameters that can be envisaged in a programming language range from simple values, like integers and floatingpoint numbers,through structured values, types and classes, to kinds (the type of types and/or classes). \emph{Datatypegeneric programming} is about parametrising programs by the structure of the data that they manipulate, exploiting that structure when it is relevant and ignoring it when it is not. Programming languages most commonly used at the present time do not provide effective mechanisms for documenting and implementing datatype genericity. This volume is a contribution towards improving the state of the art.}
}
@INPROCEEDINGS{gip,
author = {Jeremy Gibbons and Meng Wang and Bruno C. d. S. Oliveira},
title = {Generic and Indexed Programming},
booktitle = {Trends in Functional Programming},
year = {2007},
editor = {Marco Morazan},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/gip.pdf},
abstract = {The EPSRCfunded \emph{Generic and Indexed Programming} project will explore the interaction between \emph{datatypegeneric programming} (DGP) ~programs parametrized by the shape of their data~ and \emph{indexed programming} (IP) ~lightweight dependentlytyped programming, with programs indexed by typelevel representations of properties. Integrating these two notions will provide new ways for programmers to \emph{capture abstractions}.}
}
@INPROCEEDINGS{compatibility,
author = {Peter Y. H. Wong and Jeremy Gibbons},
title = {Verifying Business Process Compatibility},
booktitle = {3rd International Workshop on Methods and Tools for Coordinating Concurrent, Distributed and Mobile Systems (MTCoord'07)},
year = {2007},
address = {Paphos, Cyprus},
month = JUN,
note = {A shorter version of this paper was presented at the 2nd European Young Researchers Workshop on Service Oriented Computing, Leicester, United Kingdom, June 1997},
abstract = {Business Process Modelling Notation (BPMN), developed by the Business Process Management Initiative (BPMI), intends to bridge the gap between business process design and implementation. In this paper we describe a processalgebraic approach to verifying process interactions for business collaboration described in BPMN. We first describe briefly a process semantics for BPMN in Communicating Sequential Processes; we then use a simple example of business collaboration to demonstrate how our semantic model may be used to verify compatibility between business participants in a collaboration.}
}
@INPROCEEDINGS{workflow,
author = {Peter Y. H. Wong and Jeremy Gibbons},
title = {A ProcessAlgebraic Approach to Workflow Specification and Refinement},
booktitle = {Software Composition},
year = {2007},
url = {http://web.comlab.ox.ac.uk/oucl/work/peter.wong/pub/sc2007.pdf},
abstract = {This paper describes a process algebraic approach to
specification and refinement of workflow processes.
In particular, we model both specification and implementation
of workflows as CSP processes. CSP's
behavioural models and their respective refinement relations
not only enable us to prove correctness properties of an individual
workflow process against its behavioural specification, but also
allows us to design and develop workflow processes compositionally.
Moreover, coupled with CSP is an industrial strength
automated model checker FDR, which allows behavioural properties of
workflow models to be proved automatically. This paper details some
CSP models of van der Aalst et al.'s control flow workflow patterns,
and illustrates behavioural specification and refinement of workflow
systems with a business process scenario.}
}
@INPROCEEDINGS{crosstrial,
author = {Radu Calinescu and Steve Harris and Jeremy Gibbons and Jim Davies},
title = {CrossTrial Query System for Cancer Clinical Trials},
booktitle = {International Joint Conferences on Computer, Information and
Systems Sciences and Engineering (CISSE)},
year = {2006},
month = DEC,
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/crosstrial.pdf},
abstract = {Data sharing represents one of the key objectives and major challenges of today's cancer research. CancerGrid, a consortium of clinicians, cancer researchers, computational biologists and software engineers from leading UK institutions, is developing openstandards cancer informatics addressing this challenge. The CancerGrid solution involves the representation of a widely accepted clinical trials model in controlled vocabulary and common data elements (CDEs) as the enabling factor for cancer data sharing. This paper describes a cancer data query system that supports data sharing across CancerGridcompliant clinical trial boundaries. The formal specification of the query system allows the modeldriven development of a flexible, webbased interface that cancer researchers with limited IT experience can use to identify and query common data across multiple clinical trials.}
}
@INPROCEEDINGS{iteratormsfp,
author = {Jeremy Gibbons and Bruno C. d. S. Oliveira},
title = {The Essence of the {I}terator Pattern},
booktitle = {MathematicallyStructured Functional Programming},
year = {2006},
editor = {Conor McBride and Tarmo Uustalu},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/iteratormsfp.pdf},
note = {Superseded by \cite{iterator}},
abstract = {The Iterator pattern gives a clean interface for
elementbyelement access to a collection. Imperative iterations
using the pattern have two simultaneous aspects: mapping and
accumulating. Various functional iterations model one or other of
these, but not both simultaneously. We argue that McBride and
Paterson's idioms, and in particular the corresponding traverse
operator, do exactly this, and therefore capture the essence of the
Iterator pattern. We present some axioms for traversal, and
illustrate with a simple example, the repmin problem.}
}
@INPROCEEDINGS{hodgp,
author = {Jeremy Gibbons},
title = {Design Patterns as HigherOrder Datatypegeneric Programs},
booktitle = {Workshop on Generic Programming},
year = {2006},
editor = {Ralf Hinze},
month = SEP,
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/hodgp.pdf},
abstract = {Design patterns are reusable abstractions in objectoriented
software. However, using current programming languages, these
elements can only be expressed extralinguistically: as prose,
pictures, and prototypes. We believe that this is not inherent in the
patterns themselves, but evidence of a lack of expressivity in the
languages of today. We expect that, in the languages of the future,
the code part of design patterns will be expressible as reusable
library components. Indeed, we claim that the languages of tomorrow
will suffice; the future is not far away. The necessary features are
\emph{higherorder} and \emph{datatypegeneric} constructs; these
features are already or nearly available now. We argue the case by
presenting higherorder datatypegeneric programs capturing Origami,
a small suite of patterns for recursive data structures.}
}
@INPROCEEDINGS{fission,
author = {Jeremy Gibbons},
title = {Fission for Program Comprehension},
booktitle = {Mathematics of Program Construction},
volume = {4014},
series = {Lecture Notes in Computer Science},
year = {2006},
editor = {Tarmo Uustalu},
pages = {162179},
publisher = {SpringerVerlag},
url = {http://www.comlab.ox.ac.uk/jeremy.gibbons/publications/fission.pdf},
abstract = {Fusion is a program transformation that combines adjacent
computations, flattening structure and improving efficiency at the
cost of clarity. Fission is the same transformation, in reverse:
creating structure, ex nihilo. We explore the use of fission for
program comprehension, that is, for reconstructing the design of a
program from its implementation. We illustrate through rational
reconstructions of the designs for three different C programs that
count the words in a text file.}
}
@ARTICLE{metamorphismsscp,
author = {Jeremy Gibbons},
title = {Metamorphisms: Streaming RepresentationChangers},
journal = SCP,
year = {2007},
volume = 65,
pages = {108139},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/metamorphismsscp.pdf},
note = {Revised version of \cite{metamorphismsmpc}},
abstract = {\emph{Unfolds} generate data structures, and \emph{folds}
consume them. A \emph{hylomorphism} is a fold after an unfold,
generating then consuming a \emph{virtual data structure}. A
\emph{metamorphism} is the opposite composition, an unfold after a
fold; typically, it will convert from one data representation to
another. In general, metamorphisms are less interesting than
hylomorphisms: there is no automatic \emph{fusion} to \emph{deforest}
the intermediate virtual data structure. However, under certain
conditions fusion is possible: some of the work of the unfold can be
done before all of the work of the fold is complete. This permits
\emph{streaming metamorphisms}, and among other things allows
conversion of \emph{infinite data representations}. We present the
theory of metamorphisms and outline some examples.}
}
@INPROCEEDINGS{fast+loose,
author = {Nils Anders Danielsson and Jeremy Gibbons and John Hughes and Patrik Jansson},
title = {Fast and Loose Reasoning is Morally Correct},
booktitle = {Principles of Programming Languages},
year = {2006},
month = JAN,
pages = {206217},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/fast+loose.pdf},
note = {Accompanying proofs at \url{http://www.cs.chalmers.se/~nad/repos/fastandlooseproofs/}},
abstract = {We justify reasoning about nontotal (partial) functional
languages using methods seemingly only valid for total ones; this
permits `fast and loose' reasoning without actually being loose.
\par
Two languages are defined, one total and one partial, with identical
syntax. The semantics of the partial language includes partial and
infinite values and lifted types, including lifted function spaces. A
partial equivalence relation is then defined, the domain of which is
the total subset of the partial language. It is proved that if two
closed terms have the same semantics in the total language, then they
have related semantics in the partial language. It is also shown that
the partial equivalence relation gives rise to a bicartesian closed
category, which can be used to reason about values in the domain of
the relation.},
annote = {}
}
@ARTICLE{spigot,
author = {Jeremy Gibbons},
title = {An Unbounded Spigot Algorithm for the Digits of $\pi$},
journal = {American Mathematical Monthly},
year = {2006},
volume = {113},
number = {4},
pages = {318328},
note = {One of the algorithms described in this paper won a prize for \textit{most useful submission} at the \textit{Succ Zeroth International Obfuscated Haskell Code Contest}!},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/spigot.pdf},
abstract = {Rabinowitz and Wagon (\textit{American Mathematical Monthly}
102(3):195203, 1995) present a \emph{spigot algorithm} for
computing the digits of $\pi$. A spigot algorithm yields its outputs
incrementally, and does not reuse them after producing them. Their
algorithm is inherently \emph{bounded}; it requires a commitment in
advance to the number of digits to be computed, and in fact might
still produce an incorrect last few digits. We propose two
\emph{streaming algorithms} based on the same characterization of
$\pi$, with the same incremental characteristics but without
requiring the prior bound.}
}
@ARTICLE{rationals,
author = {Jeremy Gibbons and David Lester and Richard Bird},
title = {Enumerating the Rationals},
journal = {Journal of Functional Programming},
volume = {16},
number = {4},
year = {2006},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/rationals.pdf},
abstract = {We present a series of programs for enumerating the rational numbers without duplication, drawing on some elegant results of Neil Calkin, Herbert Wilf and Moshe Newman.}
}
@INPROCEEDINGS{typecase,
author = {Bruno C\'esar dos Santos Oliveira and Jeremy Gibbons},
title = {Type{C}ase: A Design Pattern for TypeIndexed Functions},
booktitle = {Haskell Workshop},
year = {2005},
editor = {Daan Leijen},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/typecase.pdf},
abstract = {A \emph{typeindexed function} is a function that is defined
for each member of some family of types. Haskell's type class
mechanism provides collections of \emph{open typeindexed functions},
in which the indexing family can be extended by defining a new type
class instance but the collection of functions is fixed. The purpose
of this paper is to present \emph{TypeCase}: a design pattern that
allows the definition of \emph{closed typeindexed functions}, in
which the index family is fixed but the collection of functions is
extensible. It is inspired by Cheney and Hinze's work on lightweight
approaches to generic programming. We generalise their techniques as
a \emph{design pattern}. Furthermore, we show that \emph{typeindexed
functions} with \emph{typeindexed types}, and consequently
\emph{generic functions} with \emph{generic types}, can also be
encoded in a lightweight manner, thereby overcoming one of the main
limitations of the lightweight approaches.}
}
@INPROCEEDINGS{hodgpoopsla,
author = {Jeremy Gibbons},
title = {Design Patterns as HigherOrder DatatypeGeneric Programs},
booktitle = {ObjectOriented Programming: Systems, Languages, Applications},
year = {2005},
address = {San Diego},
month = OCT,
note = {Tutorial. A revision of \cite{hodgpecoop}},
url = {http://www.oopsla.org/2005/ShowEvent.do?id=121},
abstract = {The purpose of this tutorial is to draw together ideas from the Design Patterns community (the Gang of Four: Gamma, Helm, Johnson, Vlissides) and the Functional Programming world (eg Bird, Meertens, Hughes). In particular, the thesis is that whereas design patterns must be expressed extralinguistically (as prose, diagrams, examples) in objectoriented languages, they may be captured directly as abstractions using higherorder operators in functional programming languages. Therefore, they may be reasoned about, typechecked, applied and reused, just as any other abstractions may be.
\par
We argue this case by developing the idea of higherorder operators, specifically for capturing patterns of computation in programs. We then build on this to show how the intentions behind a number of the Gang of Four patternssuch as Composite, Visitor, Iterator, and Builderhave higherorder operators as their analogues in functional languages. Specifically, the structure of these patterns is determined essentially by the structure of the data involved, and they can be captured as generic programs parametrized by that datatype.
\par
The aim is to give greater insight into and understanding of alreadyfamiliar patterns.}
}
@INPROCEEDINGS{hodgpecoop,
author = {Jeremy Gibbons},
title = {Design Patterns as HigherOrder DatatypeGeneric Programs},
booktitle = {European Conference on ObjectOriented Programming},
year = {2005},
address = {Glasgow},
month = JUL,
note = {Tutorial. Later version appears as \cite{hodgpoopsla}},
url = {http://2005.ecoop.org/8.html},
abstract = {The aim of this tutorial is to draw together ideas from the Design Patterns community (the Gang of Four: Gamma, Helm, Johnson, Vlissides) and the Functional Programming world (eg Bird, Meertens, Hughes). In particular, the thesis is that whereas design patterns must be expressed extralinguistically (as prose, diagrams, examples) in objectoriented languages, they may be captured directly as abstractions using higherorder operators in functional programming languages. Therefore, they may be reasoned about, typechecked, applied and reused, just as any other abstractions may be. We argue this case by developing the idea of higherorder operators, specifically for capturing patterns of computation in programs. We then bring this around to show how the intentions behind a number of the Gang of Four patternssuch as Composite, Visitor, Iterator, and Builderhave higherorder operators as their analogues in functional languages.}
}
@INPROCEEDINGS{metamorphismsmpc,
author = {Jeremy Gibbons},
title = {Streaming RepresentationChangers},
booktitle = {Mathematics of Program Construction},
year = {2004},
month = JUL,
volume = {3125},
pages = {142168},
series = {Lecture Notes in Computer Science},
editor = {Dexter Kozen},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/metamorphismsmpc.pdf},
note = {Superseded by \cite{metamorphismsscp}},
abstract = {\emph{Unfolds} generate data structures, and \emph{folds}
consume them. A \emph{hylomorphism} is a fold after an unfold,
generating then consuming a \emph{virtual data structure}. A
\emph{metamorphism} is the opposite composition, an unfold after a
fold; typically, it will convert from one data representation to
another. In general, metamorphisms are less interesting than
hylomorphisms: there is no automatic \emph{fusion} to \emph{deforest}
the intermediate virtual data structure. However, under certain
conditions fusion is possible: some of the work of the unfold can be
done before all of the work of the fold is complete. This permits
\emph{streaming metamorphisms}, and among other things allows
conversion of \emph{infinite data representations}. We present the
theory of metamorphisms and outline some examples.}
}
@INPROCEEDINGS{patterns,
author = {Jeremy Gibbons},
title = {Patterns in DatatypeGeneric Programming},
booktitle = {Multiparadigm Programming},
year = {2003},
pages = {277289},
editor = {J{\"o}rg Striegnitz and Kei Davis},
publisher = {John von {N}eumann Institute for Computing (NIC)},
volume = {27},
isbn = {3000160051},
note = {First International Workshop on Declarative Programming in the
Context of ObjectOriented Languages (DPCOOL)},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/patterns.pdf},
abstract = {\emph{Generic programming} consists of increasing the expressiveness of
programs by allowing a wider variety of kinds of parameter than is usual.
The most popular instance of this scheme is the C++ Standard Template
Library. \emph{Datatypegeneric programming} is another
instance, in which the parameters take the form of
datatypes. We argue that datatypegeneric programming is sufficient to
express essentially all the genericity found in the Standard Template
Library. Moreover, datatypegeneric programming is a preciselydefined
notion with a rigorous mathematical foundation, in contrast to generic
programming in general and the C++ template mechanism in particular, and
thereby offers the prospect of better static checking and a greater ability
to reason about generic programs. This paper describes work in progress.}
}
@INPROCEEDINGS{arith,
author = {Richard Bird and Jeremy Gibbons},
title = {Arithmetic Coding with Folds and Unfolds},
booktitle = {Advanced Functional Programming 4},
pages = {126},
volume = {2638},
series = {Lecture Notes in Computer Science},
year = {2003},
editor = {Johan Jeuring and Simon Peyton Jones},
publisher = {SpringerVerlag},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/arith.pdf},
note = {Code available at \url{http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/arith.zip}},
abstract = {Arithmetic coding is a method for data compression. It produces a theoretically optimal compression under much weaker assumptions than Huffman and ShannonFano, and can compress within one bit of the limit imposed by Shannon's Noiseless Coding Theorem. Earlier presentations provided little in the way of proof of why the various steps in the encoding process were correct, particularly when it came to the specification of precisely what problem the implementation solved, and the details of why the inverse operation of decoding was correct. Our aim in these lectures is to provide a formal derivation of basic algorithms for coding and decoding. Our development makes heavy use of the algebraic laws of folds and unfolds. One novel result concerns a new pattern of computation, which we call \emph{streaming}, whereby elements of an output list are produced as soon as they are determined (and which has nothing to do with lazy evaluation).}
}
@BOOK{ssgp,
editor = {Roland Backhouse and Jeremy Gibbons},
title = {Summer School on Generic Programming},
booktitle = {Summer School on Generic Programming},
publisher = {SpringerVerlag},
year = {2003},
series = {Lecture Notes in Computer Science},
volume = {2793},
image = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/ssgp.jpg},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/ssgptoc.pdf},
abstract = {Generic programming is about making programming more effective by making it more general. This volume is about a novel form of genericity in programs, based on parameterizing programs by the structure of the data they manipulate. The material is based on lectures presented at a summer school on Generic Programming held at the University of Oxford in August 2002.}
}
@INCOLLECTION{origami,
author = {Jeremy Gibbons},
title = {Origami Programming},
crossref = {fop},
pages = {4160},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/origami.pdf},
note = {},
abstract = {One style of functional programming is based purely on recursive equations.
Such equations are easy to explain, and adequate for any computational purpose, but
hard to use well as programs get bigger and more complicated. In a sense,
recursive equations are the `assembly language' of functional programming,
and direct recursion the \emph{goto}.
As computer scientists discovered in the 1960s with
structured programming, it is better to identify common patterns of use of
such toopowerful tools, and capture these patterns as new constructions
and abstractions. In functional programming, in contrast to imperative
programming, we can often express the new constructions as higherorder
operations within the language, whereas the move from unstructured to
structured programming entailed the development of new languages.
\par
In this chapter we will look at folds and
unfolds as abstractions.
In a precise technical sense, folds and unfolds are the natural patterns of
computation over recursive datatypes; unfolds generate data structures
and folds consume them. Functional programmers are very familiar with
the \emph{foldr} function on lists, and its directional dual \emph{foldl}; they
are gradually coming to terms with the generalisation to folds on other
datatypes. The computational duals, unfolds,
are still rather unfamiliar; we
hope to show here that they are no more complicated than, and just as
useful as, folds, and to promote a style of programming based on these and
similar recursion patterns.}
}
@BOOK{fop,
editor = {Jeremy Gibbons and Oege de Moor},
title = {The Fun of Programming},
booktitle = {The Fun of Programming},
publisher = {Palgrave},
year = {2003},
series = {Cornerstones in Computing},
isbn = {1403907722},
note = {ISBN 0333992857 in paperback (\url{http://www.palgrave.com/catalogue/catalogue.asp?Title_Id=0333992857}, \url{http://www.amazon.co.uk/exec/obidos/ASIN/0333992857/}), 1403907722 in hardback (\url{http://www.palgrave.com/catalogue/catalogue.asp?Title_Id=1403907722}, \url{http://www.amazon.co.uk/exec/obidos/ASIN/1403907722/})},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/foppreface.pdf},
image = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/fop.jpg},
abstract = {Functional programming has come of age: it is now a standard course in any computer science curriculum. Ideas that were first developed in the laboratory environment of functional programming have proved their values in wider settings, such as generic Java and XML. The time is ripe, therefore, to teach a second course on functional programming, delving deeper into the subject. This book is the text for such a course. The emphasis is on the fun of programming in a modern, well designed programming language such as Haskell. There are chapters that focus on applications, in particular pretty printing, musical composition, hardware description, and graphical design. These applications are interspersed with chapters on techniques, such as the design of efficient data structures, interpreters for other languages, program testing and optimisation. These topics are of interest to every aspiring programmer, not just to those who choose to work in a functional language. Haskell just happens to be a very convenient vehicle for expressing the ideas, and the theme of functional programming as a lingua franca to communicate ideas runs throughout the book. }
}
@INPROCEEDINGS{softengprojects,
author = {Andrew Simpson and Andrew Martin and Jeremy Gibbons and Jim
Davies and Steve McKeever},
title = {On The Supervision and Assessment Of PartTime Postgraduate
Software Engineering Projects },
booktitle = {International Conference on Software Engineering},
year = {2003},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/softengprojects.pdf},
abstract = {This paper describes existing practices in the supervision and assessment of projects undertaken by parttime, postgraduate students in Software Engineering. It considers this aspect of the learning experience, and the educational issues raised, in the context of existing literaturemuch of which is focussed upon the experience of fulltime, undergraduate students. The importance of these issues will increase with the popularity of parttime study at a postgraduate level; the paper presents a set of guidelines for project supervision and assessment.}
}
@ARTICLE{efolds,
author = {Clare Martin and Jeremy Gibbons and Ian Bayley},
title = {Disciplined, efficient, generalised folds for nested datatypes},
journal = {Formal Aspects of Computing},
year = {2004},
volume = {16},
number = {1},
pages = {1935},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/efolds.pdf},
abstract = {Nested (or nonuniform, or nonregular) datatypes have
recursive definitions in which the type parameter changes. Their
folds are restricted in power due to type constraints. Bird and
Paterson introduced \emph{generalised folds} for extra power, but at
the cost of a loss of efficiency: folds may take more than linear
time to evaluate. Hinze introduced \emph{efficient generalised folds}
to counter this inefficiency, but did so in a pragmatic way, at the
cost of a loss of reasoning power: without categorical or equivalent
underpinnings, there are no universal properties for manipulating
folds. We combine the efficiency of Hinze's construction with the
powerful reasoning tools of Bird and Paterson's.}
}
@PROCEEDINGS{wcgp,
title = {Generic Programming},
year = {2003},
editor = {Jeremy Gibbons and Johan Jeuring},
publisher = {Kluwer Academic Publishers},
note = {Proceedings of the IFIP TC2 Working Conference on Generic
Programming, Schlo\ss{} Dagstuhl, July 2002},
image = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/wcgp.jpg},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/wcgppreface.pdf},
abstract = {Generic programming techniques have always been of interest, both to practitioners and to theoreticians, but only recently have generic programming techniques become a specific focus of research in the functional and ob jectoriented programming language communities. The IFIP TC2 Working Conference on Generic Programming, held at Schlo\ss{} Dagstuhl,Germany, on 11th and 12th July 2002, brought together leading researchers in generic programming from around the world, and featured papers capturing the state of the art in this important emerging area. The conference was sponsored by IFIP Technical Committee 2, and organized in cooperation with Working Group 2.1 on Algorithmic Languages and Calculi. This book contains revised versions of the papers that were presented at the conference.}
}
@INCOLLECTION{acmmpccalcfp,
author = {Jeremy Gibbons},
title = {Calculating Functional Programs},
crossref = {acmmpc},
pages = {148203},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/acmmpccalcfp.pdf},
abstract = {Functional programs are merely equations; they may be
manipulated by straightforward equational reasoning. In particular,
one can use this style of reasoning to \emph{calculate} programs, in
the same way that one calculates numeric values in arithmetic. Many
useful theorems for such reasoning derive from an \emph{algebraic}
view of programs, built around datatypes and their
operations. Traditional algebraic methods concentrate on initial
algebras, constructors, and values; dual \emph{coalgebraic} methods
concentrate on final coalgebras, destructors, and processes. Both
methods are elegant and powerful; they deserve to be combined. }
}
@INCOLLECTION{acmmpcoptimization,
author = {Richard Bird and Jeremy Gibbons and Shin Cheng Mu},
title = {Algebraic Methods for Optimization Problems},
crossref = {acmmpc},
pages = {281307},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/acmmpcoptimization.pdf},
abstract = {We argue for the benefits of relations over functions for
modelling programs, and even more so for modelling specifications. To
support this argument, we present an extended case study for a class
of optimization problems, deriving efficient functional programs from
concise relational specifications.}
}
@BOOK{acmmpc,
editor = {Roland Backhouse and Roy Crole and Jeremy Gibbons},
title = {Algebraic and Coalgebraic Methods in the Mathematics of Program
Construction},
booktitle = {Algebraic and Coalgebraic Methods in the Mathematics of Program
Construction},
publisher = {SpringerVerlag},
year = {2002},
volume = {2297},
series = {Lecture Notes in Computer Science},
image = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/acmmpc.jpg},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/acmmpctoc.pdf},
abstract = {Program construction is about turning specifications of computer software into implementations. Doing so in a way that guarantees correctness is an undertaking requiring deep understanding of the languages and tools being used, as well as of the application domain. Recent research aimed at improving the process of program construction exploits insights from abstract algebraic tools such as lattice theory, fixpoint calculus, universal algebra, category theory and allegory theory. This book provides an introduction to these mathematical theories and how they are applied to practical problems.}
}
@INPROCEEDINGS{superposition,
author = {Jeremy Gibbons},
title = {Towards a ColimitBased Semantics for Visual Programming},
booktitle = {Coordination Models and Languages},
volume = {2315},
series = {Lecture Notes in Computer Science},
year = {2002},
month = APR,
pages = {166173},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/superpositionextended.pdf},
abstract = {Software architects such as Garlan and Katz promote the
separation of \emph{computation} from \emph{coordination}. They
encourage the study of \emph{connectors} as firstclass entities, and
\emph{superposition} of connectors onto components as a paradigm for
componentoriented programming. We demonstrate that this is a good
model for what \emph{visual programming tools} like IBM's VisualAge
actually do. Moreover, Fiadeiro and Maibaum's categorical semantics
of parallel programs is applicable to this model, so we can make
progress towards a formal semantics of visual programming.}
}
@ARTICLE{kernels,
author = {Jeremy Gibbons and Graham Hutton and Thorsten Altenkirch},
title = {When is a Function a Fold or an Unfold?},
note = {Proceedings of Coalgebraic Methods in Computer Science},
journal = {entcs},
volume = 44,
number = 1,
year = {2001},
month = APR,
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/kernels.ps.gz},
abstract = {We give a necessary and sufficient condition for when a
settheoretic function can be written using the recursion operator
fold, and a dual condition for the recursion operator unfold. The
conditions are simple, practically useful, and generic in the
underlying datatype.}
}
@ARTICLE{corecursive,
author = {Jeremy Gibbons and Graham Hutton},
title = {Proof Methods for Corecursive Programs},
journal = {Fundamenta Informatica},
year = {2005},
volume = {66},
number = {4},
pages = {353366},
month = {April/May},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/corecursive.pdf},
abstract = {Recursion is a wellknown and powerful programming
technique, with a wide variety of applications. The dual technique
of corecursion is less wellknown, but is increasingly proving to be
just as useful. This article is a tutorial on the four main methods
for proving properties of corecursive programs: fixpoint induction,
the approximation (or take) lemma, coinduction, and fusion.}
}
@ARTICLE{semantics,
author = {Clare Martin and Jeremy Gibbons},
title = {On the Semantics of Nested Datatypes},
journal = IPL,
year = {2001},
month = DEC,
volume = {80},
number = {5},
pages = {233238},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/semantics.ps.gz},
abstract = {Nested (or nonregular or nonuniform) datatypes are
recursively defined parameterised datatypes in which the parameter of
the datatype changes in the recursive call. The standard semantic
definition of recursively defined datatypes is as initial algebras in
the category $\mathit{Set}$ of sets and total functions. Bird and
Meertens have shown that this theory is inadequate to describe nested
datatypes. Instead, one solution proposed there was to define them as
initial algebras in the functor category
$\mathit{Nat}(\mathit{Set})$, with objects all endofunctors on
$\mathit{Set}$ and arrows all natural transformations between
them. We show here that initial algebras are not guaranteed to exist
in the
functor category itself, but that they do exist in one of its
subcategories: the category of all \emph{cocontinuous} endofunctors
and natural transformations. This category is then a suitable
semantic domain for nested datatypes, both first order and
higherorder.}
}
@INPROCEEDINGS{pointwise,
author = {Oege de Moor and Jeremy Gibbons},
title = {Pointwise Relational Programming},
booktitle = {Algebraic Methodology and Software Technology},
volume = {1816},
series = {Lecture Notes in Computer Science},
pages = {371390},
year = {2000},
month = MAY,
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/pointwise.ps.gz},
abstract = {The pointfree relational calculus has been very successful as
a language for discussing general programming principles. However,
when it comes to specific applications, the calculus can be rather
awkward to use: some things are more clearly and simply expressed
using variables. The combination of variables and relational
combinators such as converse and choice yields a kind of
nondeterministic functional programming language. We give a semantics
for such a language, and illustrate with an example application.}
}
@ARTICLE{approx,
author = {Graham Hutton and Jeremy Gibbons},
title = {The Generic Approximation Lemma},
journal = {Information Processing Letters},
volume = {79},
number = {4},
pages = {197201},
year = 2001,
month = AUG,
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/approx.ps.gz},
abstract = {The approximation lemma was recently introduced as a
simplification of the wellknown take lemma, and is used
to prove properties of programs that produce lists of values. We show
how the approximation lemma, unlike the take lemma, can naturally be
generalised from lists to a large class of datatypes, and present a
generic approximation lemma that is parametric in the datatype
to which it applies. As a useful byproduct, we find that generalising
the approximation lemma in this way also simplifies its proof.}
}
@ARTICLE{bridging,
author = {Oege de Moor and Jeremy Gibbons},
title = {Bridging the Algorithm Gap: A LinearTime Functional Program for
Paragraph Formatting},
journal = SCP,
year = {1999},
volume = {35},
number = {1},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/bridging.ps.gz},
abstract = {In the constructive programming community it is commonplace to
see formal developments of textbook algorithms. In the algorithm
design community, on the other hand, it may be well known that the
textbook solution to a problem is not the most efficient
possible. However, in presenting the more efficient solution, the
algorithm designer will usually omit some of the implementation
details, thus creating an algorithm gap between the abstract
algorithm and its concrete implementation. This is in contrast to the
formal development, which usually proceeds all the way to the
complete concrete implementation of the less efficient solution.
\par
We claim that the algorithm designer is forced to omit some of the
details by the relative expressive poverty of the Pascallike
languages typically used to present the solution. The greater
expressiveness provided by a functional language would allow the
whole story to be told in a reasonable amount of space. In this paper
we use a functional language to present the development of a
sophisticated algorithm all the way to the final code. We hope to
bridge the algorithm gap between abstract and concrete
implementations, and thereby facilitate communication between the
constructive programming and algorithm design communities.}
}
@INPROCEEDINGS{naturally,
author = {Richard Bird and Jeremy Gibbons and Geraint Jones},
title = {Program Optimisation, Naturally},
booktitle = {Millenial Perspectives in Computer Science},
publisher = {Palgrave},
year = {2000},
editor = {J. W. Davies and A. W. Roscoe and J. C. P. Woodcock},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/naturally.ps.gz},
abstract = {It is wellknown that each polymorphic function satisfies a
certain equational law, called a \emph{naturality} condition. Such
laws are part and parcel of the basic toolkit for improving the
efficiency of functional programs. More rarely, some polymorphic
functions also possess a \emph{higherorder} naturality property. One
example is the operation \emph{unzip} that takes lists of pairs to
pairs of lists. Surprisingly, this property can be invoked to improve
the asymptotic efficiency of some divideandconquer algorithms from
$O(n log n)$ to $O(n)$. The improved algorithms make use of
polymorphic recursion, and can be expressed neatly using nested
datatypes, so they also serve as evidence of the practical utility of
these two concepts.}
}
@ARTICLE{radix,
author = {Jeremy Gibbons},
title = {A Pointless Derivation of Radixsort},
journal = {Journal of Functional Programming},
year = {1999},
volume = {9},
number = {3},
pages = {339346},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/radix.ps.gz},
abstract = {This paper is about pointfree (or `pointless') calculations~
calculations performed at the level of function composition instead of
that of function application. We address this topic with the help of an
example, namely calculating the \emph{radixsort} algorithm from a more
obvious specification of sorting. The message that we hope to send
is that pointfree calculations are sometimes surprisingly simpler than
the corresponding pointwise calculations.}
}
@ARTICLE{genda,
author = {Jeremy Gibbons},
title = {Generic Downwards Accumulations},
journal = SCP,
year = {2000},
volume = 37,
pages = {3765},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/genda.ps.gz},
abstract = {A \emph{downwards accumulation} is a higherorder operation that
distributes information downwards through a data structure, from the
root towards the leaves. The concept was originally introduced in an
ad hoc way for just a couple of kinds of tree. We generalize the
concept to an arbitrary regular datatype; the resulting definition is
coinductive.}
}
@INPROCEEDINGS{unfold,
author = {Jeremy Gibbons and Geraint Jones},
title = {The UnderAppreciated Unfold},
booktitle = {Proceedings of the Third ACM SIGPLAN International Conference
on Functional Programming},
address = {Baltimore, Maryland},
pages = {273279},
year = {1998},
month = SEP,
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/unfold.ps.gz},
abstract = {\emph{Folds} are appreciated by functional programmers. Their
dual, \emph{unfolds}, are not new, but they are not nearly as well
appreciated. We believe they deserve better. To illustrate, we present
(indeed, we calculate) a number of algorithms for computing the
\emph{breadthfirst traversal} of a tree. We specify breadthfirst
traversal in terms of \emph{levelorder traversal}, which we characterize
first as a fold. The presentation as a fold is simple, but it is
inefficient, and removing the inefficiency makes it no longer a fold. We
calculate a characterization as an unfold from the characterization as a
fold; this unfold is equally clear, but more efficient. We also calculate
a characterization of breadthfirst traversal directly as an unfold; this
turns out to be the `standard' queuebased algorithm.}
}
@INPROCEEDINGS{polyda,
author = {Jeremy Gibbons},
title = {Polytypic Downwards Accumulations},
booktitle = {Proceedings of Mathematics of Program Construction},
volume = {1422},
series = {Lecture Notes in Computer Science},
year = {1998},
editor = {Johan Jeuring},
publisher = {SpringerVerlag},
address = {Marstrand, Sweden},
month = JUN,
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/polyda.ps.gz},
abstract = {A \emph{downwards accumulation} is a higherorder operation that
distributes information downwards through a data structure, from the root
towards the leaves. The concept was originally introduced in an ad~hoc
way for just a couple of kinds of tree. We generalize the concept to an
arbitrary polynomial datatype; our generalization proceeds via the notion
of a \emph{path} in such a datatype.}
}
@ARTICLE{spjava,
author = {Jeremy Gibbons},
title = {Structured Programming in {J}ava},
journal = {SIGPLAN Notices},
year = {1998},
month = APR,
volume = 33,
number = 4,
pages = {4043},
note = {Also in Proceedings of Second Conference on Java in the Computing
Curriculum, South Bank University, London, ed Fintan Culwin},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/spjava.ps.gz},
abstract = {We argue that for computing majors, it is better to use a `why'
approach to teaching programming than a `how' approach; this involves
(among other things) teaching structured programming before
progressing to higherlevel styles such as objectoriented
programming. We also argue that, once it has been decided to teach
structured programming, Java is a reasonable language to choose for
doing so.}
}
@INPROCEEDINGS{calculating,
author = {Jeremy Gibbons},
title = {Calculating Functional Programs},
booktitle = {Proceedings of ISRG/SERG Research Colloquium},
year = {1997},
editor = {Keiichi Nakata},
organization = {School of Computing and Mathematical Sciences, Oxford
Brookes University},
note = {Technical Report CMSTR9801},
month = NOV,
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/calculating.ps.gz},
abstract = {A good way of developing a correct program is to \emph{calculate}
it from its specification. Functional programming languages are
especially suitable for this, because their referential transparency
greatly helps calculation. We discuss the ideas behind program
calculation, and illustrate with an example (the \emph{maximum
segment sum} problem). We show that calculations are driven by
\emph{promotion}, and that promotion properties arise from
\emph{universal properties} of the data types involved.}
}
@TECHREPORT{merging,
author = {Jeremy Gibbons},
title = {More on Merging and Selection},
institution = {School of Computing and Mathematical Sciences,
Oxford Brookes University},
number = {CMSTR9708},
year = {1997},
month = OCT,
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/merging.ps.gz},
abstract = {In his paper \textit{On Merging and Selection}
(\textit{Journal of Functional Programming} 7(3),
1997), Bird considers the problem of computing the
$n$th element of the list resulting from merging the
two sorted lists $x$ and $y$. Representing $x$ and
$y$ by trees, Bird derives an algorithm for the
problem taking time proportional to the sum of their
depths. Bird's derivation is more complicated than
necessary. By the simple tactic of delaying a design
decision (in this case, the decision to represent
the lists as trees) as long as possible, we obtain a
much simpler solution.}
}
@TECHREPORT{conditionals,
author = {Jeremy Gibbons},
title = {Conditionals in Distributive Categories},
institution = {School of Computing and Mathematical Sciences, Oxford
Brookes University},
year = {1997},
number = {CMSTR9701},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/conditionals.ps.gz},
abstract = {In a distributive category (a category in which the product
distributes over the coproduct), coproducts can be used to model
conditional expressions. We develop such a theory of conditionals.}
}
@ARTICLE{thirdht,
author = {Jeremy Gibbons},
title = {The {T}hird {H}omomorphism {T}heorem},
journal = {Journal of Functional Programming},
year = {1996},
volume = {6},
number = {4},
note = {Earlier version appeared in C.\,B.\,Jay, editor, {\it Computing:
The Australian Theory Seminar}, Sydney, December~1994, p.\,6269},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/thirdht.ps.gz},
abstract = {The {\em Third Homomorphism Theorem\/} is a folk theorem of
the constructive algorithmics community. It states that a function on
lists that can be computed both from left to right and from right to
left is necessarily a {\em list homomorphism\/}it can be computed
according to {\em any\/} parenthesization of the list.
\par
We formalize and prove the theorem, and describe two practical
applications: to fast parallel algorithms for language recognition
problems and for downwards accumulations on trees.}
}
@PROCEEDINGS{dmtcs,
title = {Combinatorics, Complexity and Logic: Proceedings of Discrete
Mathematics and Theoretical Computer Science},
year = {1996},
editor = {Douglas Bridges and Cris Calude and Jeremy Gibbons and Steve
Reeves and Ian Witten},
publisher = {SpringerVerlag},
notes = {ISBN 981308314X},
address = {Singapore},
image = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/dmtcs.jpg},
abstract = {DMTCS'96 is the first of a planned series of conferences organized by the Centre for Discrete Mathematics and Theoretical Computer Science, and is the first joint venture of the Computer Science and Mathematics departments of the University of Auckland and Waikato, New Zealand. These proceedings contain original papers which had been solicited in all areas of discrete mathematics and theoretical computer science, in particular in the areas of combinatorics, complexity, computability, constructivity, and logic.}
}
@ARTICLE{drawing,
author = {Jeremy Gibbons},
title = {Deriving Tidy Drawings of Trees},
journal = {Journal of Functional Programming},
year = {1996},
volume = {6},
number = {3},
pages = {535562},
note = {Earlier version appears as Technical Report No.\,82, Department of
Computer Science, University of Auckland},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/drawing.ps.gz},
abstract = {The {\em treedrawing problem\/} is to produce a `tidy'
mapping of elements of a tree to points in the plane. In this
paper, we derive an efficient algorithm for producing tidy
drawings of trees. The specification, the starting point for the
derivations, consists of a collection of intuitively appealing
{\em criteria\/} satisfied by tidy drawings. The derivation
shows constructively that these criteria completely determine
the drawing. Indeed, there is essentially only one reasonable
drawing algorithm satisfying the criteria; its development is
almost mechanical.
\par
The algorithm consists of an {\em upwards accumulation\/}
followed by a {\em downwards accumulation\/} on the tree, and is
further evidence of the utility of these two higherorder tree
operations.}
}
@ARTICLE{quickly,
author = {Jeremy Gibbons},
title = {Computing Downwards Accumulations on Trees Quickly},
journal = {Theoretical Computer Science},
year = {1996},
volume = {169},
number = {1},
pages = {6780},
note = {Earlier version appeared in Proceedings of the 16th Australian
Computer Science Conference, Brisbane, 1993},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/quickly.ps.gz},
abstract = {{\em Downwards passes\/} on binary trees are essentially
functions which pass information down a tree, from the root towards
the leaves. Under certain conditions, a downwards pass is both
`efficient' (computable in a functional style in parallel time
proportional to the depth of the tree) and `manipulable' (enjoying a
number of distributivity properties useful in program construction);
we call a downwards pass satisfying these conditions a {\em downwards
accumulation}. In this paper, we show that these conditions do in
fact yield a stronger conclusion: the accumulation can be computed in
parallel time proportional to the {\em logarithm\/} of the depth of
the tree, on a CREW PRAM machine.}
}
@INPROCEEDINGS{tracing,
author = {Jeremy Gibbons and Keith Wansbrough},
title = {Tracing Lazy Functional Languages},
booktitle = {Computing: The Australasian Theory Seminar},
year = {1996},
month = JAN,
editor = {Michael E. Houle and Peter Eades},
pages = {1120},
address = {Melbourne},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/tracing.ps.gz},
abstract = {We argue that Ariola and Felleisen's and Maraist, Odersky and
Wadler's axiomatization of the callbyneed lambda calculus forms a
suitable formal basis for tracing evaluation in lazy functional
languages. In particular, it allows a onedimensional textual
representation of terms, rather than requiring a twodimensional
graphical representation using arrows. We describe a program
LetTrace, implemented in Gofer and tracing lazy evaluation of a
subset of Gofer.}
}
@INPROCEEDINGS{dashed,
author = {Jeremy Gibbons},
title = {Dotted and Dashed Lines in {M}etafont},
booktitle = {Proceedings of the 1995 Annual Meeting},
year = {1995},
editor = {Robin Fairbairns},
organization = {\TeX{} Users' Group},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/dashed.ps.gz},
abstract = {We show how to draw evenly dotted and dashed curved lines in
Metafont, using {\em recursive refinement\/} of paths. Metapost
provides extra primitives that can be used for this task, but the
method presented here can be used for both Metafont and Metapost.}
}
@INPROCEEDINGS{damgs,
author = {Jeremy Gibbons},
title = {An InitialAlgebra Approach to Directed Acyclic Graphs},
booktitle = {Mathematics of Program Construction},
volume = {947},
series = {Lecture Notes in Computer Science},
editor = {Bernhard M{\"o}ller},
publisher = {SpringerVerlag},
pages = {282303},
year = {1995},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/damgs.ps.gz},
abstract = {The initialalgebra approach to modelling datatypes consists
of giving {\em constructors\/} for building larger objects of that
type from smaller ones, and {\em laws\/} identifying different ways
of constructing the same object. The recursive decomposition of
objects of the datatype leads directly to a recursive pattern of
computation on those objects, which is very helpful for both
functional and parallel programming.
\par
We show how to model a particular kind of directed acyclic graph
using this initialalgebra approach.}
}
@UNPUBLISHED{nzfpdcsquiggol,
author = {Jeremy Gibbons},
title = {An Introduction to the {B}ird{M}eertens {F}ormalism},
note = {Presented at `New Zealand Formal Program Development
Colloquium', Hamilton, November~1994},
year = {1994},
month = NOV,
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/nzfpdcsquiggol.ps.gz},
abstract = {The BirdMeertens Formalism, or `Squiggol', is a calculus for
the construction of programs from their specifications by a process
of equational reasoning. Developments are directed by considerations
of {\em data}, as opposed to {\em program}, structure.
\par
This paper presents a brief introduction to the philosophy and
notation of the calculus, in the guise of the (wellknown) derivation
of a lineartime solution to the `maximum segment sum' problem.}
}
@ARTICLE{efficient,
author = {Jeremy Gibbons and Wentong Cai and David Skillicorn},
title = {Efficient Parallel Algorithms for Tree Accumulations},
journal = {Science of Computer Programming},
year = {1994},
volume = {23},
pages = {118},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/efficient.ps.gz},
abstract = {Accumulations are higherorder operations on structured
objects; they leave the shape of an object unchanged, but replace
elements of that object with accumulated information about other
elements. Upwards and downwards accumulations on trees are two such
operations; they form the basis of many tree algorithms. We present
two EREW PRAM algorithms for computing accumulations on trees taking
$O(\log n)$ time on $O(n/\log n)$ processors, which is optimal.}
}
@INPROCEEDINGS{nzfpdcdrawing,
author = {Jeremy Gibbons},
title = {How to Derive Tidy Drawings of Trees},
booktitle = {Proceedings of Salodays in Auckland},
year = {1994},
editor = {C. Calude and M. J. J. Lennon and H. Maurer},
pages = {5373},
address = {Department of Computer Science, University of Auckland},
seealso = {Condensed version of \cite{Gibbons96:Deriving}},
note = {Also presented at `New Zealand Formal Program Development
Colloquium', Hamilton, November~1994},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/nzfpdcdrawing.ps.gz},
abstract = {The {\em treedrawing problem\/} is to produce a `tidy'
mapping of elements of a tree to points in the plane. In this
paper, we derive an efficient algorithm for producing tidy
drawings of trees. The specification, the starting point for the
derivations, consists of a collection of intuitively appealing
{\em criteria\/} satisfied by tidy drawings. The derivation
shows constructively that these criteria completely determine
the drawing. Indeed, there is essentially only one reasonable
drawing algorithm satisfying the criteria; its development is
almost mechanical.
\par
The algorithm consists of an {\em upwards accumulation\/}
followed by a {\em downwards accumulation\/} on the tree, and is
further evidence of the utility of these two higherorder tree
operations.}
}
@TECHREPORT{linear,
author = {Geraint Jones and Jeremy Gibbons},
title = {Lineartime Breadthfirst Tree Algorithms: An Exercise in the
Arithmetic of Folds and Zips},
institution = {Programming Research Group, University of Oxford, and
Department of Computer Science, University of Auckland},
year = {1993},
month = {May},
number = {Computer Science Report No.\,71, University of Auckland},
note = {IFIP Working Group 2.1 working paper 705~WIN2},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/linear.ps.gz},
abstract = {This paper is about an application of the mathematics of the
zip, reduce (fold) and accumulate (scan) operations on lists. It
gives an account of the derivation of a lineartime breadthfirst
tree traversal algorithm, and of a subtle and efficient
breadthfirst tree labelling algorithm.}
}
@INPROCEEDINGS{formal,
author = {Jeremy Gibbons},
title = {Formal Methods: Why Should {I} Care? The Development of the {T800}
{T}ransputer FloatingPoint Unit},
booktitle = {Proceedings of the 13th New Zealand Computer Society
Conference},
year = {1993},
pages = {207217},
editor = {John Hosking},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/formal.ps.gz},
abstract = {The term `formal methods' is a general term for precise
mathematicallybased techniques used in the development of computer
systems, both hardware and software. This paper discusses formal
methods in general, and in particular describes their
successful role in specifying, constructing and proving correct
the floatingpoint unit of the Inmos T800 transputer chip.}
}
@INPROCEEDINGS{accumulations,
author = {Jeremy Gibbons},
title = {Upwards and Downwards Accumulations on Trees},
booktitle = {Mathematics of Program Construction},
editor = {R. S. Bird and C. C. Morgan and J. C. P. Woodcock},
year = {1993},
volume = {669},
series = {Lecture Notes in Computer Science},
publisher = {SpringerVerlag},
note = {This revised version appeared in
\textit{Proceedings of the Massey Functional Programming Workshop}
(ed E. Ireland and N. Perry, 1992)},
url = {http://www.comlab.ox.ac.uk/oucl/work/jeremy.gibbons/publications/accumulations.ps.gz},
abstract = {An {\em accumulation\/} is a higherorder operation over
structured objects of some type; it leaves the shape of an object
unchanged, but replaces each element of that object with some
accumulated information about the other elements. Upwards and
downwards accumulations on trees are two instances of this scheme;
they replace each element of a tree with some functionin fact,
some homomorphismof that element's descendants and of its
ancestors, respectively. These two operations can be thought of as
passing information up and down the tree.
\par
We introduce these two accumulations, and show how together they
solve the socalled prefix sums problem.}
}
@PHDTHESIS{ata,
author = {Jeremy Gibbons},
title = {Algebras for Tree Algorithms},
school = {Programming Research Group, Oxford University},
type = {{D}.\,{Phil}.~thesis},
year = {1991},
note = {Available as Technical Monograph PRG94. ISBN 0902928724},
abstract = {This thesis presents an investigation into the properties of
various algebras of trees. In particular, we study the influence
that the structure of a tree algebra has on the solution of
algorithmic problems about trees in that algebra. The investigation
is conducted within the framework provided by the BirdMeertens
formalism, a calculus for the construction of programs by
equational reasoning from their specifications.
\par
We present three different tree algebras: two kinds of binary tree
and a kind of general tree. One of the binary tree algebras, called
`hip trees', is new. Instead of being built with a single ternary
operator, hip trees are built with two binary operators which
respectively add left and right children to trees which do not
already have them; these operators enjoy a kind of associativity
property.
\par
Each of these algebras brings with it with a class of
`structurerespecting' functions called catamorphisms; the
definition of a catamorphism and a number of its properties come
for free from the definition of the algebra, because the algebra is
chosen to be initial in a class of algebras induced by a
(cocontinuous) functor. Each algebra also brings with it, but not
for free, classes of `structurepreserving' functions called
accumulations. An accumulation is a function that preserves the
shape of a structured object such as a tree, but replaces each
element of that object with some catamorphism applied to some of
the other elements. The two classes of accumulation that we study
are the `upwards' and `downwards' accumulations, which pass
information from the leaves of a tree towards the root and from the
root towards the leaves, respectively.
\par
Upwards and downwards accumulations turn out to be the key to the
solution of many problems about trees. We derive accumulationbased
algorithms for a number of problems; these include the parallel
prefix algorithm for the prefix sums problem, algorithms for
bracket matching and for drawing binary and general trees, and
evaluators for decorating parse trees according to an attribute
grammar.}
}
@ARTICLE{balanced,
author = {Jeremy Gibbons},
title = {Balanced Binary Trees as a Partial Free Algebra},
journal = {The Squiggolist},
year = {1990},
volume = {1},
number = {4},
abstract = {You don't need `subset' types to construct balanced trees, if you allow yourself partial constructors or a countable infinity of constructors.}
}
@ARTICLE{unique,
author = {Jeremy Gibbons},
title = {The Unique Derivative of a PrefixClosed Predicate},
journal = {The Squiggolist},
year = {1989},
volume = {1},
number = {2},
abstract = {Talking about `the' derivative of a prefixclosed function makes no sense, but talking about the strongest and the weakest derivative does.}
}
@ARTICLE{interesting,
author = {Jeremy Gibbons},
title = {An Interesting Characterisation of PrefixClosure},
journal = {The Squiggolist},
year = {1989},
volume = {1},
number = {2},
abstract = {A predicate is prefixclosed iff it holds of all initial segments of a list precisely when it holds of the whole list.}
}
@ARTICLE{kmp,
author = {Richard S. Bird and Jeremy Gibbons and Geraint Jones},
title = {Formal Derivation of a Pattern Matching Algorithm},
journal = SCP,
year = {1989},
volume = {12},
number = {2},
pages = {93104},
month = JUL,
url = {http://dx.doi.org/10.1016/01676423(89)900361},
abstract = {This paper is devoted to the synthesis of a functional version of the KnuthMorrisPratt algorithm for pattern matching. This algorithm was first discussed by Knuth; since then formal developments have been given by Dijkstra and Dromey, among many others. The novel aspects of the present treatment are: (i) the result is expressed as a (very short) functional program; and (ii) the derivation makes use of the calculus of lists described by Bird.}
}
@MASTERSTHESIS{newview,
author = {Jeremy Gibbons},
title = {A New View of Binary Trees},
school = {Programming Research Group, Oxford University},
year = {1988},
type = {Transferral dissertation},
note = {Abstract appears in the Bulletin of the EATCS, number~39, p.~214.},
abstract = {We present a new formalism of labelled binary trees, using two
partial binary constructors instead of the usual total ternary
constructor. This formalism is complemented by some higherorder
operators, encapsulating common patterns of computation on trees. We
explore their use by deriving solutions to a couple of algorithmic
problems on trees.
\par
The work proceeds in the BirdMeertens style. This is a calculus for
programs, closely related to applicative programming languages.
Expressions are written at the function level, avoiding the use of
unnecessary names and being as concise as possible. Derivations are
performed by program transformation~ the application of
correctnesspreserving transformations to an initial specification,
with the intention of improving its efficiency without changing its
meaning.}
}
This file has been generated by
bibtex2html 1.85.
Jeremy Gibbons
(Jeremy.Gibbons@comlab.ox.ac.uk)

