249 research outputs found

    Data type proofs using Edinburgh LCF

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    Particpants' Proceedings on the Workshop: Types for Program Analysis

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    As a satellite meeting of the TAPSOFT'95 conference we organized a small workshop on program analysis. The title of the workshop, ``Types for Program Analysis´´, was motivated by the recent trend of letting the presentation and development of program analyses be influenced by annotated type systems, effect systems, and more general logical systems. The contents of the workshop was intended to be somewhat broader; consequently the call for participation listed the following areas of interest:- specification of specific analyses for programming languages,- the role of effects, polymorphism, conjunction/disjunction types, dependent types etc.in specification of analyses,- algorithmic tools and methods for solving general classes of type-based analyses,- the role of unification, semi-unification etc. in implementations of analyses,- proof techniques for establishing the safety of analyses,- relationship to other approaches to program analysis, including abstract interpretation and constraint-based methods,- exploitation of analysis results in program optimization and implementation.The submissions were not formally refereed; however each submission was read by several members of the program committee and received detailed comments and suggestions for improvement. We expect that several of the papers, in slightly revised forms, will show up at future conferences. The workshop took place at Aarhus University on May 26 and May 27 and lasted two half days

    Strictness and Totality Analysis

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    We define a novel inference system for strictness and totality analysis for the simply-typed lazy lambda-calculus with constants and fixpoints. Strictness information identifies those terms that definitely denote bottom (i.e. do not evaluate to WHNF) whereas totality information identifies those terms that definitely do not denote bottom (i.e. do evaluate to WHNF). The analysis is presented as an annotated type system allowing conjunctions only at ``top level´´. We give examples of its use and prove the correctness with respect to a natural-style operational semantics

    Proof-Theoretic Methods for Analysis of Functional Programs

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    We investigate how, in a natural deduction setting, we can specify concisely a wide variety of tasks that manipulate programs as data objects. This study will provide us with a better understanding of various kinds of manipulations of programs and also an operational understanding of numerous features and properties of a rich functional programming language. We present a technique, inspired by structural operational semantics and natural semantics, for specifying properties of, or operations on, programs. Specifications of this sort are presented as sets of inference rules and are encoded as clauses in a higher-order, intuitionistic meta-logic. Program properties are then proved by constructing proofs in this meta-logic. We argue the following points regarding these specifications and their proofs: (i) the specifications are clear and concise and they provide intuitive descriptions of the properties being described; (ii) a wide variety of program analysis tools can be specified in a single unified framework, and thus we can investigate and understand the relationship between various tools; (iii) proof theory provides a well-established and formal setting in which to examine meta-theoretic properties of these specifications; and (iv) the meta-logic we use can be implemented naturally in an extended logic programming language and thus we can produce experimental implementations of the specifications. We expect that our efforts will provide new perspectives and insights for many program manipulation tasks

    Annotated Type Systems for Program Analysis

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    In this Ph.D. thesis, we study four program analyses. Three of them are specified by annotated type systems and the last one by abstract interpretation.We present a combined strictness and totality analysis. We are specifying the analysis as an annotated type system. The type system allows conjunctions of annotated types, but only at the top-level. The analysis is somewhat more powerful than the strictness analysis by Kuo and Mishra due to the conjunctions and in that we also consider totality. The analysis is shown sound with respect to a natural-style operational semantics. The analysis is not immediately extendable to full conjunction.The second analysis is also a combined strictness and totality analysis, however with ``full´´ conjunction. Soundness of the analysis is shown with respect to a denotational semantics. The analysis is more powerful than the strictness analyses by Jensen and Benton in that it in addition to strictness considers totality. So far we have only specified the analyses, however in order for the analyses to be practically useful we need an algorithm for inferring the annotated types. We construct an algorithm for the second analysis using the lazy type approach by Hankin and Le MÊtayer. The reason for choosing the second analysis from the thesis is that the approach is not applicable to the first analysis.The third analysis we study is a binding time analysis. We take the analysis specified by Nielson and Nielson and we construct a more efficient algorithm than the one proposed by Nielson and Nielson. The algorithm collects constraints in a structural manner like the type inference algorithm by Damas. Afterwards the minimal solution to the set of constraints is found.The last analysis in the thesis is specified by abstract interpretation. Hunt shows that projection based analyses are subsumed by PER (partial equivalence relation) based analyses using abstract interpretation. The PERs used by Hunt are strict, i.e. bottom is related to bottom. Here we lift this restriction by requiring the PERs to be uniform, in the sense that they treat all the integers equally. By allowing non-strict PERs we get three properties on the integers, corresponding to the three annotations used in the first and second analysis in the thesis

    Deciding subset relationship of co-inductively defined set constants

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    Static analysis of different non-strict functional programming languages makes use of set constants like Top, Inf, and Bot denoting all expressions, all lists without a last Nil as tail, and all non-terminating programs, respectively. We use a set language that permits union, constructors and recursive definition of set constants with a greatest fixpoint semantics. This paper proves decidability, in particular EXPTIMEcompleteness, of subset relationship of co-inductively defined sets by using algorithms and results from tree automata. This shows decidability of the test for set inclusion, which is required by certain strictness analysis algorithms in lazy functional programming languages

    No value restriction is needed for algebraic effects and handlers

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    We present a straightforward, sound Hindley-Milner polymorphic type system for algebraic effects and handlers in a call-by-value calculus, which allows type variable generalisation of arbitrary computations, not just values. This result is surprising. On the one hand, the soundness of unrestricted call-by-value Hindley-Milner polymorphism is known to fail in the presence of computational effects such as reference cells and continuations. On the other hand, many programming examples can be recast to use effect handlers instead of these effects. Analysing the expressive power of effect handlers with respect to state effects, we claim handlers cannot express reference cells, and show they can simulate dynamically scoped state

    Free Theorems in Languages with Real-World Programming Features

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    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
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