Selective Strictness and Parametricity in Structural Operational Semantics, Inequationally

Parametric polymorphism constrains the behavior of pure functional pro-grams in a way that allows the derivation of interesting theorems about them solely from their types, i.e., virtually for free. The formal background of such ‘free theorems’ is well developed for extensions of the Girard-Reynolds polymorphic lambda calculus by algebraic datatypes and general recursion, provided the resulting calculus is endowed with either a purely strict or a purely nonstrict semantics. But modern functional languages like Clean and Haskell, while using nonstrict evaluation by default, also provide means to enforce strict evaluation of subcomputations at will. The resulting selective strictness gives the advanced programmer explicit control over evaluation order, but is not without semantic consequences: it breaks standard parametricity results. This paper develops an operational semantics for a core calculus supporting all the language features emphasized above. Its main achievement is the characterization of observational approximation with respect to this operational semantics via a carefully constructed logical relation. This establishes the formal basis for new parametricity results, as illustrated by several example applications, including the first complete correctness proof for short cut fusion in the presence of selective strictness. The focus on observational approximation, rather than equivalence, allows a finer-grained analysis of computational behavior in the presence of selective strictness than would be possible with observational equivalence alone

Free Theorems in Languages with Real-World Programming Features

Free theorems, type-based assertions about functions, have become a prominent reasoning tool in functional programming languages. But their correct application requires a lot of care. Restrictions arise due to features present in implemented such languages, but not in the language free theorems were originally investigated in. This thesis advances the formal theory behind free theorems w.r.t. the application of such theorems in non-strict functional languages such as Haskell. In particular, the impact of general recursion and forced strict evaluation is investigated. As formal ground, we employ different lambda calculi equipped with a denotational semantics. For a language with general recursion, we develop and implement a counterexample generator that tells if and why restrictions on a certain free theorem arise due to general recursion. If a restriction is necessary, the generator provides a counterexample to the unrestricted free theorem. If not, the generator terminates without returning a counterexample. Thus, we may on the one hand enhance the understanding of restrictions and on the other hand point to cases where restrictions are superfluous. For a language with a strictness primitive, we develop a refined type system that allows to localize the impact of forced strict evaluation. Refined typing results in stronger free theorems and therefore increases the value of the theorems. Moreover, we provide a generator for such stronger theorems. Lastly, we broaden the view on the kind of assertions free theorems provide. For a very simple, strict evaluated, calculus, we enrich free theorems by (runtime) efficiency assertions. We apply the theory to several toy examples. Finally, we investigate the performance gain of the foldr/build program transformation. The latter investigation exemplifies the main application of our theory: Free theorems may not only ensure semantic correctness of program transformations, they may also ensure that a program transformation speeds up a program.Freie Theoreme sind typbasierte Aussagen über Funktionen. Sie dienen als beliebtes Hilfsmittel für gleichungsbasiertes Schließen in funktionalen Sprachen. Jedoch erfordert ihre korrekte Verwendung viel Sorgfalt. Bestimmte Sprachkonstrukte in praxisorientierten Programmiersprachen beschränken freie Theoreme. Anfängliche theoretische Arbeiten diskutieren diese Einschränkungen nicht oder nur teilweise, da sie nur einen reduzierten Sprachumfang betrachten. In dieser Arbeit wird die Theorie freier Theoreme weiterentwickelt. Im Vordergrund steht die Verbesserung der Anwendbarkeit solcher Theoreme in praxisorientierten, „nicht-strikt” auswertenden, funktionalen Programmiersprachen, wie Haskell. Dazu ist eine Erweiterung des formalen Fundaments notwendig. Insbesondere werden die Auswirkungen von allgemeiner Rekursion und selektiv strikter Auswertung untersucht. Als Ausgangspunkt für die Untersuchungen dient jeweils ein mit einer denotationellen Semantik ausgestattetes Lambda-Kalkül. Im Falle allgemeiner Rekursion wird ein Gegenbeispielgenerator entwickelt und implementiert. Ziel ist es zu zeigen ob und warum allgemeine Rekursion bestimmte Einschränkungen verursacht. Wird die Notwendigkeit einer Einschränkung festgestellt, liefert der Generator ein Gegenbeispiel zum unbeschränkten Theorem. Sonst terminiert er ohne ein Beispiel zu liefern. Auf der einen Seite erhöht der Generator somit das Verständnis für Beschränkungen. Auf der anderen Seite deutet er an, dass Beschränkungen teils überflüssig sind. Bezüglich selektiv strikter Auswertung wird in dieser Arbeit ein verfeinertes Typsystem entwickelt, das den Einfluss solcher vom Programmierer erzwungener Auswertung auf freie Theoreme lokal begrenzt. Verfeinerte Typen ermöglichen stärkere, und somit für die Anwendung wertvollere, freie Theoreme. Durch einen online verfügbaren Generator stehen die Theoreme faktisch aufwandsfrei zur Verfügung. Abschließend wird der Blick auf die Art von Aussagen, die freie Theoreme liefern können, erweitert. Für ein sehr einfaches, strikt auswertendes, Kalkül werden freie Theoreme mit Aussagen über Programmeffizienz bzgl. der Laufzeit angereichert. Die Anwendbarkeit der Theorie wird an einigen sehr einfachen Beispielen verifiziert. Danach wird die Auswirkung der foldr/build- Programmtransformation auf die Programmlaufzeit betrachtet. Diese Betrachtung steckt das Anwendungsziel ab: Freie Theoreme sollen nicht nur die semantische Korrektheit von Programmtransformationen verifizieren, sie sollen außerdem zeigen, wann Transformationen die Performanz eines Programms erhöhen

A Family Of Syntactic Logical Relations For The Semantics Of Haskell-Like Languages

Logical relations are a fundamental and powerful tool for reasoning about programs in languages with parametric polymorphism. Logical relations suitable for reasoning about observational behavior in polymorphic calculi supporting various programming language features have been introduced in recent years. Unfortunately, the calculi studied are typically idealized, and the results obtained for them over only partial insight into the impact of such features on observational behavior in implemented languages. In this paper we show how to bring reasoning via logical relations closer to bear on real languages by deriving results that are more pertinent to an intermediate language for the (mostly) lazy functional language Haskell like GHC Core. To provide a more ?ne-grained analysis of program behavior than is possible by reasoning about program equivalence alone, we work with an abstract notion of relating observational behavior of computations which has among its specializations both observational equivalence and observational approximation. We take selective strictness into account, and we consider the impact of different kinds of computational failure, e.g., divergence versus failed pattern matching, because such distinctions are significant in practice. Once distinguished, the relative de?nedness of different failure causes needs to be considered, because different orders here induce different observational relations on programs (including the choice between equivalence and approximation). Our main contribution is the construction of an entire family of logical relations, parameterized over a definedness order on failure causes, each member of which characterizes the corresponding observational relation. Although we deal with properties very much tied to types, we base our results on a type-erasing semantics since this is more faithful to actual implementations

Abstract Interpretation of Polymorphic Higher-Order Functions

This thesis describes several abstract interpretations of polymorphic functions. In all the interpretations, information about any instance of a polymorphic function is obtained from that of the smallest, thus avoiding the computation of the instance directly. This is useful in the case of recursive functions, because it avoids the expensive computation of finding fixed points of functionals corresponding to complex instances. We define an explicitly typed polymorphic language with the Hindley-Milner type system to illustrate our ideas, and provide two semantics of polymorphism that relate separate instances of any polymorphic function. The choice of which semantics to use depends on the particular program analysis we want to study. For studying strictness analysis and binding-time analysis, we introduce a semantics based on embedding-closure pairs. We see how the abstract function of the smallest instance of a polymorphic function is used in building an approximation to that of any instance. Furthermore, we extend the language to include lists, and describe both strictness analysis and binding-time analysis of lists. Thus, this work extends previous work by others, on analyses of polymorphic first-order functions and also of monomorphic higher-order functions, to polymorphic higher-order functions. In relating distinct instances of a polymorphic function, the approximate abstract function is expressed as the greatest lower bound of a set of functions. This may not be very cheap to compute. However, there are often ways of obtaining the same result by considering a smaller set of functions. Another issue concerns how close the approximations are to the exact values. In the first-order case, it is shown that the approximate values coincide with the exact values. In general this is not the case, but experimental results on strictness analysis indicate that good approximations are obtained. Embedding-projection pairs are used to provide a semantics that is convenient for termination analysis of polymorphic functions. We show that the abstract interpretation of an instance can be approximated by the least upper bound of a set of functions that are built from that of the smallest

A generic operational metatheory for algebraic effects

We provide a syntactic analysis of contextual preorder and equivalence for a polymorphic programming language with effects. Our approach applies uniformly across a range of algebraic effects, and incorporates, as instances: errors, input/output, global state, nondeterminism, probabilistic choice, and combinations thereof. Our approach is to extend Plotkin and Power’s structural operational semantics for algebraic effects (FoSSaCS 2001) with a primitive “basic preorder” on ground type computation trees. The basic preorder is used to derive notions of contextual preorder and equivalence on program terms. Under mild assumptions on this relation, we prove fundamental properties of contextual preorder (hence equivalence) including extensionality properties and a characterisation via applicative contexts, and we provide machinery for reasoning about polymorphism using relational parametricity

Proofs for free - parametricity for dependent types

Reynolds' abstraction theorem shows how a typing judgement in System F can be translated into a relational statement (in second order predicate logic) about inhabitants of the type. We obtain a similar result for pure type systems: for any PTS used as a programming language, there is a PTS that can be used as a logic for parametricity. Types in the source PTS are translated to relations (expressed as types) in the target. Similarly, values of a given type are translated to proofs that the values satisfy the relational interpretation. We extend the result to inductive families. We also show that the assumption that every term satisfies the parametricity condition generated by its type is consistent with the generated logic

Abstract interpretation

Abstract. Abstract interpretation has been widely used for verifying properties of computer systems. Here, we present a way to extend this framework to the case of probabilistic systems. The probabilistic abstraction framework that we propose allows us to systematically lift any classical analysis or verification method to the probabilistic setting by separating in the program semantics the probabilistic behavior from the (non-)deterministic behavior. This separation provides new insights for designing novel probabilistic static analyses and verification methods. We define the concrete probabilistic semantics and propose different ways to abstract them. We provide examples illustrating the expressiveness and effectiveness of our approach.

Analysis of Hardware Descriptions

The design process for integrated circuits requires a lot of analysis of circuit descriptions. An important class of analyses determines how easy it will be to determine if a physical component suffers from any manufacturing errors. As circuit complexities grow rapidly, the problem of testing circuits also becomes increasingly difficult. This thesis explores the potential for analysing a recent high level hardware description language called Ruby. In particular, we are interested in performing testability analyses of Ruby circuit descriptions. Ruby is ammenable to algebraic manipulation, so we have sought transformations that improve testability while preserving behaviour. The analysis of Ruby descriptions is performed by adapting a technique called abstract interpretation. This has been used successfully to analyse functional programs. This technique is most applicable where the analysis to be captured operates over structures isomorphic to the structure of the circuit. Many digital systems analysis tools require the circuit description to be given in some special form. This can lead to inconsistency between representations, and involves additional work converting between representations. We propose using the original description medium, in this case Ruby, for performing analyses. A related technique, called non-standard interpretation, is shown to be very useful for capturing many circuit analyses. An implementation of a system that performs non-standard interpretation forms the central part of the work. This allows Ruby descriptions to be analysed using alternative interpretations such test pattern generation and circuit layout interpretations. This system follows a similar approach to Boute's system semantics work and O'Donnell's work on Hydra. However, we have allowed a larger class of interpretations to be captured and offer a richer description language. The implementation presented here is constructed to allow a large degree of code sharing between different analyses. Several analyses have been implemented including simulation, test pattern generation and circuit layout. Non-standard interpretation provides a good framework for implementing these analyses. A general model for making non-standard interpretations is presented. Combining forms that combine two interpretations to produce a new interpretation are also introduced. This allows complex circuit analyses to be decomposed in a modular manner into smaller circuit analyses which can be built independently