The Tenth ACM SIGPLAN International Conference on Functional Programming (ICFP) was held in September, 2005, in Tallinn, Estonia; Benjamin Pierce chaired the program committee. After the conference, extended versions of some of the presented papers were solicited for this special issue of JFP. All submitted papers were reviewed following standard JFP procedures and four were ultimately accepted; they form the body of this special issue.

Several proof-assistants rely on the very formal basis of Pure Type Systems (PTS) as their foundations. We are concerned with the issues involved in the development of large proofs in these provers such as namespace management, development of reusable proof libraries and separate verification. Although implementations offer many features to address them, few theoretical foundations have been laid for them up to now. This is a problem as features dealing with modularity may have harmful, unsuspected effects on the reliability or usability of an implementation.

In this paper, we propose an extension of Pure Type Systems with a module system, , adapted from SML-like module systems for programming languages. This system gives a theoretical framework addressing the issues mentioned above in a quite uniform way. It is intended to be a theoretical foundation for the module systems of proof-assistants such as Coq or Agda. We show how reliability and usability can be formalized as metatheoretical properties and prove they hold for .

Many modern programming languages support basic generics, sufficient to implement type-safe polymorphic containers. Some languages have moved beyond this basic support, and in doing so have enabled a broader, more powerful form of generic programming. This paper reports on a comprehensive comparison of facilities for generic programming in eight programming languages: C++, Standard ML, Objective Caml, Haskell, Eiffel, Java, C# (with its proposed generics extension), and Cecil. By implementing a substantial example in each of these languages, we illustrate how the basic roles of generic programming can be represented in each language. We also identify eight language properties that support this broader view of generic programming: support for multi-type concepts, multiple constraints on type parameters, convenient associated type access, constraints on associated types, retroactive modeling, type aliases, separate compilation of algorithms and data structures, and implicit argument type deduction for generic algorithms. We find that these features are necessary to avoid awkward designs, poor maintainability, and painfully verbose code. As languages increasingly support generics, it is important that language designers understand the features necessary to enable the effective use of generics and that their absence can cause difficulties for programmers.

Design and quality are fundamental themes in engineering education. Functionalprogramming builds software from small components, a central element of gooddesign, and facilitates reasoning about correctness, an important aspect ofquality. Software engineering courses that employ functional programming providea platform for educating students in the design of quality software. This pearldescribes experiments in the use of ACL2, a purely functional subset of CommonLisp with an embedded mechanical logic, to focus on design and correctness insoftware engineering courses. Students find the courses challenging andinteresting. A few acquire enough skill to use an automated theorem prover onthe job without additional training. Many students, but not quite a majority,find enough success to suggest that additional experience would make themeffective users of mechanized logic in commercial software development. Nearlyall gain a new perspective on what it means for software to be correct andacquire a good understanding of functional programming.

Haskell's popularity has driven the need for ever more expressive type system features, most of which threaten the decidability and practicality of Damas-Milner type inference. One such feature is the ability to write functions with higher-rank types – that is, functions that take polymorphic functions as their arguments. Complete type inference is known to be undecidable for higher-rank (impredicative) type systems, but in practice programmers are more than willing to add type annotations to guide the type inference engine, and to document their code. However, the choice of just what annotations are required, and what changes are required in the type system and its inference algorithm, has been an ongoing topic of research. We take as our starting point a λ-calculus proposed by Odersky and Läufer. Their system supports arbitrary-rank polymorphism through the exploitation of type annotations on λ-bound arguments and arbitrary sub-terms. Though elegant, and more convenient than some other proposals, Odersky and Läufer's system requires many annotations. We show how to use local type inference (invented by Pierce and Turner) to greatly reduce the annotation burden, to the point where higher-rank types become eminently usable. Higher-rank types have a very modest impact on type inference. We substantiate this claim in a very concrete way, by presenting a complete type-inference engine, written in Haskell, for a traditional Damas-Milner type system, and then showing how to extend it for higher-rank types. We write the type-inference engine using a monadic framework: it turns out to be a particularly compelling example of monads in action. The paper is long, but is strongly tutorial in style. Although we use Haskell as our example source language, and our implementation language, much of our work is directly applicable to any ML-like functional language.

Safety has become a fundamental requirement in all aspects of computer systems. Object-oriented calculi, such as Castagna's λ&-calculus and its variants (Castagna, 1997) ensure type safety in environments based on the distinguished object-oriented paradigm. Although for safety reasons object invariance and operation specifications are getting widely employed in all stages of the engineering process, they are not supported by these calculi. In this paper, a new calculus is presented which supports term (value) constraints besides the key object-oriented mechanisms (class types, inheritance, overloading with multiple dispatch and late binding). We also show how a type with constraints may realise a role, another useful object-oriented modelling element. The soundness of the type system and the confluence of the notion of reduction of the calculus are considered. The contribution also discusses computability issues partially arising from the use of first-order logic to formalise the constraints.

Existential types provide a simple and elegant foundation for understanding generative abstract data types of the kind supported by the Standard ML module system. However, in attempting to extend ML with support for recursive modules, we have found that the traditional existential account of type generativity does not work well in the presence of mutually recursive module definitions. The key problem is that, in recursive modules, one may wish to define an abstract type in a context where a name for the type already exists, but the existential type mechanism does not allow one to do so. We propose a novel account of recursive type generativity that resolves this problem. The basic idea is to separate the act of generating a name for an abstract type from the act of defining its underlying representation. To define several abstract types recursively, one may first ‘forward-declare’ them by generating their names, and then supply each one's identity secretly within its own defining expression. Intuitively, this can be viewed as a kind of backpatching semantics for recursion at the level of types. Care must be taken to ensure that a type name is not defined more than once, and that cycles do not arise among ‘transparent’ type definitions. In contrast to the usual continuation-passing interpretation of existential types in terms of universal types, our account of type generativity suggests a destination-passing interpretation. Briefly, instead of viewing a value of existential type as something that creates a new abstract type every time it is unpacked, we view it as a function that takes as input a pre-existing undefined abstract type and defines it. By leaving the creation of the abstract type name up to the client of the existential, our approach makes it significantly easier to link abstract data types together recursively.

Functional dependencies are a popular and useful extension to Haskell style type classes. We give a reformulation of functional dependencies in terms of Constraint Handling Rules (CHRs). In previous work, CHRs have been employed for describing user-programmable type extensions in the context of Haskell style type classes. Here, we make use of CHRs to provide for the first time a concise result that under some sufficient conditions, functional dependencies allow for sound, complete and decidable type inference. The sufficient conditions imposed on functional dependencies can be very limiting. We show how to safely relax these conditions and suggest several sound extensions of functional dependencies. Our results allow for a better understanding of functional dependencies and open up the opportunity for new applications.

Let be a set of modules and parameterized modules including type sharing constraint specifications. We prove that determining the set of the effective modules described by is undecidable. As a consequence, type sharing constraints are proved to be not always avoidable by constructive transformations.

Delimited continuations are more expressive than traditional abortive continuations and they apparently require a framework beyond traditional continuation-passing style (CPS). We show that this is not the case: standard CPS is sufficient to explain the common control operators for delimited continuations. We demonstrate this fact and present an implementation as a Scheme library. We then investigate a typed account of delimited continuations that makes explicit where control effects can occur. This results in a monadic framework for typed and encapsulated delimited continuations, which we design and implement as a Haskell library.

The functional programming community has shown some interest in spreadsheets, but surprisingly no one seems to have considered making a standard spreadsheet, such as Excel, work with a standard functional programming language, such as Haskell. In this paper, we show one way that this can be done. Our hope is that by doing so, we might get spreadsheet programmers to give functional programming a try.

We examine the ML pattern-matching anomalies of useless clauses and non-exhaustive matches. We state the definition of these anomalies, building upon pattern matching semantics, and propose a simple algorithm to detect them. We have integrated the algorithm in the Objective Caml compiler, but we show that the same algorithm is also usable in a non-strict language such as Haskell. Or-patterns are considered for both strict and non-strict languages.

We present an approach to enriching the type system of ML with a restricted form of dependent types, where type index terms are required to be drawn from a given type index language that is completely separate from run-time programs, leading to the DML() language schema. This enrichment allows for specification and inference of significantly more precise type information, facilitating program error detection and compiler optimization. The primary contribution of the paper lies in our language design, which can effectively support the use of dependent types in practical programming. In particular, this design makes it both natural and straightforward to accommodate dependent types in the presence of effects such as references and exceptions.

We present a compositional programme logic for call-by-value imperative higher-order functions with general forms of aliasing, which can arise from the use of reference names as function parameters, return values, content of references and parts of data structures. The programme logic extends our earlier logic for alias-free imperative higher-order functions with new operators which serve as building blocks for clean structural reasoning about programms and data structures in the presence of aliasing. This has been an open issue since the pioneering work by Cartwright–Oppen and Morris twenty-five years ago. We illustrate usage of the logic for description and reasoning through concrete examples including a higher-order polymorphic Quicksort. The logical status of the new operators is clarified by translating them into (in)equalities of reference names.

Monads are commonplace programming devices that are used to uniformly structure computations; in particular, they are often used to mimic the effects of impure features such as state, error handling, and I/O. This paper further develops the monadic programming paradigm by investigating the extent to which monadic computations can be optimised by using generalisations of short cut fusion to eliminate monadic structures whose sole purpose is to “glue together” monadic program components. Ghani, Uustalu, and Vene have recently shown that every inductive type has an associated build combinator and an associated short cut fusion law. They have also used the notion of a parameterised monad to describe those monads that give rise to inductive types, and have shown that the standard augment combinators and cata/augment fusion rules for algebraic data types can be generalised to fixed points of all parameterised monads. We revisit these augment combinators and generalised short cut fusion rules for such types but consider them from a functional programming perspective, rather than a categorical one. In addition to making the category-theoretic ideas of Ghani, Uustalu, and Vene more easily accessible to a wider audience of functional programmers, we demonstrate their practical applicability by developing nontrivial application programs and performing modest benchmarking on them. We also show how the cata/augment rules can serve as the basis for deriving additional generic fusion laws, thus opening the way for an algebra of fusion. Finally, we offer deep theoretical insights, arguing that the augment combinators are monadic in nature, and thus that the cata/build and cata/augment rules are arguably the best generally applicable fusion rules obtainable.

Existing languages provide good support for typeful programming of stand-alone programs. In a distributed system, however, there may be interaction between multiple instances of many distinct programs, sharing some (but not necessarily all) of their module structure, and with some instances rebuilt with new versions of certain modules as time goes on. In this paper, we discuss programming-language support for such systems, focussing on their typing and naming issues. We describe an experimental language, Acute, which extends an ML core to support distributed development, deployment, and execution, allowing type-safe interaction between separately built programs. The main features are (1) type-safe marshalling of arbitrary values; (2) type names that are generated (freshly and by hashing) to ensure that type equality tests suffice to protect the invariants of abstract types, across the entire distributed system; (3) expression-level names generated to ensure that name equality tests suffice for type safety of associated values, for example, values carried on named channels; (4) controlled dynamic rebinding of marshalled values to local resources; and (5) thunkification of threads and mutexes to support computation mobility. These features are a large part of what is needed for typeful distributed programming. They are a relatively lightweight extension of ML, should be efficiently implementable, and are expressive enough to enable a wide variety of distributed infrastructure layers to be written as simple library code above the byte-string network and persistent store APIs. This disentangles the language run-time from communication intricacies. This paper highlights the main design choices in Acute. It is supported by a full language definition (of typing, compilation, and operational semantics), by a prototype implementation, and by example distribution libraries.

Asynchronous exceptions, or interrupts, are important for writing robust, modular programs, but are traditionally viewed as being difficult from a semantic perspective. In this article, we present a simple, formally justified, semantics for interrupts. Our approach is to show how a high-level semantics for interrupts can be justified with respect to a low-level implementation, by means of a compiler and its correctness theorem. In this manner we obtain two different perspectives on the problem, formally shown to be equivalent, which gives greater confidence in the correctness of our semantics.

The LF logical framework codifies a methodology for representing deductive systems, such as programming languages and logics, within a dependently typed λ-calculus. In this methodology, the syntactic and deductive apparatus of a system is encoded as the canonical forms of associated LF types; an encoding is correct (adequate) if and only if it defines a compositional bijection between the apparatus of the deductive system and the associated canonical forms. Given an adequate encoding, one may establish metatheoretic properties of a deductive system by reasoning about the associated LF representation. The Twelf implementation of the LF logical framework is a convenient and powerful tool for putting this methodology into practice. Twelf supports both the representation of a deductive system and the mechanical verification of proofs of metatheorems about it. The purpose of this article is to provide an up-to-date overview of the LF λ-calculus, the LF methodology for adequate representation, and the Twelf methodology for mechanizing metatheory. We begin by defining a variant of the original LF language, called Canonical LF, in which only canonical forms (long βη-normal forms) are permitted. This variant is parameterized by a subordination relation, which enables modular reasoning about LF representations. We then give an adequate representation of a simply typed λ-calculus in Canonical LF, both to illustrate adequacy and to serve as an object of analysis. Using this representation, we formalize and verify the proofs of some metatheoretic results, including preservation, determinacy, and strengthening. Each example illustrates a significant aspect of using LF and Twelf for formalized metatheory.