Abstract not found

A fully abstract model of a programming language assigns the same meaning to two terms if and only if they have the same operational behavior. Such models are well-known for functional languages but little is known about extended functional languages with sophisticated control structures. We show that a direct model with error values and the conventional continuation model are adequate for functional languages augmented with first- and higher-order control facilities, respectively. Furthermore, both models become fully abstract on adding a control delimiter and a parallel conditional to the programming languages.

Abstract Nondeterminism is a pervasive phenomenon in computation. Often it arises as an emergent property of a complex system, typically as the result of contention for access to shared resources. In such circumstances, we cannot always know, in advance, exactly what will happen. In other circumstances, nondeterminism is explicitly introduced as a means of abstracting away from implementation details such as precise command scheduling and control flow. However, the kind of behaviours exhibited by nondeterministic computations can be extremely subtle in comparison to those of their deterministic counterparts and reasoning about such programs is notoriously tricky as a result. It is therefore important to develop semantic tools to improve our understanding of, and aid our reasoning about, such nondeterministic programs. In this thesis, we extend the framework of game semantics to encompass nondeterministic computation. Game semantics is a relatively recent development in denotational semantics; its main novelty is that it views a computation not as a static entity, but rather as a dynamic process of interaction. This perspective makes the theory well-suited to modelling many aspects of computational processes: the original use of game semantics in modelling the simple functional language PCF has subsequently been extended to handle more complex control structures such as references and continuations.

Plotkin, in his seminal article Call-by-name, call-by-value and the λ-calculus, formalized evaluation strategies and simulations using operational semantics and continuations. In particular, he showed how call-by-name evaluation could be simulated under call-by-value evaluation and vice versa. Since Algol 60, however, call-by-name is both implemented and simulated with thunks rather than with continuations. We recast

It is well known that adding side effects to functional languages changes the operational equivalences of the language. We develop a new language construct, encap, that forces imperative pieces of code to behave purely functionally, i.e., without any visible side effects. The coercion operator encap provides a means of extending the simple reasoning principles for equivalences of code in a functional language to a language with side effects. In earlier work [36], similar coercion operators were developed, but their correctness required the underlying functional language to include parallel operations. The coercion operators developed here are simpler and are proven correct for purely sequential languages. The sequential setting requires the construction of fully abstract models for sequential call-by-value languages and the formulation of a weak form of "monad" suitable for expressing the semantics of call-by-value languages with side effects. 1 Introduction Two pieces of code are...

We construct a model for FPC, a purely functional, sequential, call-by-value language. The model is built from partial continuous functions, in the style of Plotkin, further constrained to be uniform with respect to a class of logical relations. We prove that the model is fully abstract.

Program fragments in functional languages may be observationally congruent in a language without effects (continuations, state, exceptions) but not in an extension with effects. We give a generic way to preserve pure functional congruences by means of an effects delimiter. The effects delimiter is defined semantically using the retraction techniques of [14], but can also be given an operational semantics. We show that the effects delimiter restores observational congruences between purely functional pieces of code, thus achieving a modular separation between the purely functional language and its extensions. 1 Introduction Functional programming is a powerful paradigm, but it has long been recognized that purely functional programs are often inefficient and cumbersome. Many modern functional languages, e.g., SML [9], build in control and state features that strictly fall outside the functional paradigm. For example, SML of New Jersey includes a "call-with-current-continuation" opera...

Language-based security relies on the assumption that all potential attacks are bound by the rules of the language in question. When programs are compiled into a different language, this is true only if the translation process preserves observational equivalence. We investigate the problem of fully abstract compilation, i.e., compilation that both preserves and reflects observational equivalence. In particular, we prove that typed closure conversion for the polymorphic λ-calculus with existential and recursive types is fully abstract. Our proof uses operational techniques in the form of a step-indexed logical relation and construction of certain wrapper terms that “back-translate ” from target values to source values. Although typed closure conversion has been assumed to be fully abstract, we are not aware of any previous result that actually proves this.

We investigate methods and tools for analyzing translations between programming languages with respect to observational semantics. The behavior of programs is observed in terms of may- and mustconvergence in arbitrary contexts, and adequacy of translations, i.e., the reflection of program equivalence, is taken to be the fundamental correctness condition. For compositional translations we propose a notion of convergence equivalence as a means for proving adequacy. This technique avoids explicit reasoning about contexts, and is able to deal with the subtle role of typing in implementations of language extensions.

Techniques of operational semantics do not apply universally to all language varieties: techniques that work for simple functional languages may not apply to more realistic languages with features such as objects and memory effects. We focus mainly on the characterization of the so-called finite elements. The presence of finite elements in a semantics allows for an additional powerful induction mechanism. We show that in some languages a reasonable notion of finite element may be defined, but for other languages this is problematic, and we analyse the reasons for these difficulties. We develop a formal theory of language embeddings and establish a number of properties of embeddings. More complex languages are given semantics by embedding them into simpler languages. Embeddings may be used to establish more general results and avoid reproving some results. It also gives us a formal metric to describe the gap between different languages. Dimensions of the untyped programming language design space addressed here include functions, injections, pairs, objects, and memories. 1