17,535 research outputs found

    Automatic Termination Analysis of Programs Containing Arithmetic Predicates

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    For logic programs with arithmetic predicates, showing termination is not easy, since the usual order for the integers is not well-founded. A new method, easily incorporated in the TermiLog system for automatic termination analysis, is presented for showing termination in this case. The method consists of the following steps: First, a finite abstract domain for representing the range of integers is deduced automatically. Based on this abstraction, abstract interpretation is applied to the program. The result is a finite number of atoms abstracting answers to queries which are used to extend the technique of query-mapping pairs. For each query-mapping pair that is potentially non-terminating, a bounded (integer-valued) termination function is guessed. If traversing the pair decreases the value of the termination function, then termination is established. Simple functions often suffice for each query-mapping pair, and that gives our approach an edge over the classical approach of using a single termination function for all loops, which must inevitably be more complicated and harder to guess automatically. It is worth noting that the termination of McCarthy's 91 function can be shown automatically using our method. In summary, the proposed approach is based on combining a finite abstraction of the integers with the technique of the query-mapping pairs, and is essentially capable of dividing a termination proof into several cases, such that a simple termination function suffices for each case. Consequently, the whole process of proving termination can be done automatically in the framework of TermiLog and similar systems.Comment: Appeared also in Electronic Notes in Computer Science vol. 3

    Interacting via the Heap in the Presence of Recursion

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    Almost all modern imperative programming languages include operations for dynamically manipulating the heap, for example by allocating and deallocating objects, and by updating reference fields. In the presence of recursive procedures and local variables the interactions of a program with the heap can become rather complex, as an unbounded number of objects can be allocated either on the call stack using local variables, or, anonymously, on the heap using reference fields. As such a static analysis is, in general, undecidable. In this paper we study the verification of recursive programs with unbounded allocation of objects, in a simple imperative language for heap manipulation. We present an improved semantics for this language, using an abstraction that is precise. For any program with a bounded visible heap, meaning that the number of objects reachable from variables at any point of execution is bounded, this abstraction is a finitary representation of its behaviour, even though an unbounded number of objects can appear in the state. As a consequence, for such programs model checking is decidable. Finally we introduce a specification language for temporal properties of the heap, and discuss model checking these properties against heap-manipulating programs.Comment: In Proceedings ICE 2012, arXiv:1212.345

    Inference of termination conditions for numerical loops in Prolog

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    We present a new approach to termination analysis of numerical computations in logic programs. Traditional approaches fail to analyse them due to non well-foundedness of the integers. We present a technique that allows overcoming these difficulties. Our approach is based on transforming a program in a way that allows integrating and extending techniques originally developed for analysis of numerical computations in the framework of query-mapping pairs with the well-known framework of acceptability. Such an integration not only contributes to the understanding of termination behaviour of numerical computations, but also allows us to perform a correct analysis of such computations automatically, by extending previous work on a constraint-based approach to termination. Finally, we discuss possible extensions of the technique, including incorporating general term orderings.Comment: To appear in Theory and Practice of Logic Programming. To appear in Theory and Practice of Logic Programmin

    A Refinement Calculus for Logic Programs

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    Existing refinement calculi provide frameworks for the stepwise development of imperative programs from specifications. This paper presents a refinement calculus for deriving logic programs. The calculus contains a wide-spectrum logic programming language, including executable constructs such as sequential conjunction, disjunction, and existential quantification, as well as specification constructs such as general predicates, assumptions and universal quantification. A declarative semantics is defined for this wide-spectrum language based on executions. Executions are partial functions from states to states, where a state is represented as a set of bindings. The semantics is used to define the meaning of programs and specifications, including parameters and recursion. To complete the calculus, a notion of correctness-preserving refinement over programs in the wide-spectrum language is defined and refinement laws for developing programs are introduced. The refinement calculus is illustrated using example derivations and prototype tool support is discussed.Comment: 36 pages, 3 figures. To be published in Theory and Practice of Logic Programming (TPLP

    Fifty years of Hoare's Logic

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    We present a history of Hoare's logic.Comment: 79 pages. To appear in Formal Aspects of Computin

    Symbolic execution proofs for higher order store programs

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    Higher order store programs are programs which store, manipulate and invoke code at runtime. Important examples of higher order store programs include operating system kernels which dynamically load and unload kernel modules. Yet conventional Hoare logics, which provide no means of representing changes to code at runtime, are not applicable to such programs. Recently, however, new logics using nested Hoare triples have addressed this shortcoming. In this paper we describe, from top to bottom, a sound semi-automated verification system for higher order store programs. We give a programming language with higher order store features, define an assertion language with nested triples for specifying such programs, and provide reasoning rules for proving programs correct. We then present in full our algorithms for automatically constructing correctness proofs. In contrast to earlier work, the language also includes ordinary (fixed) procedures and mutable local variables, making it easy to model programs which perform dynamic loading and other higher order store operations. We give an operational semantics for programs and a step-indexed interpretation of assertions, and use these to show soundness of our reasoning rules, which include a deep frame rule which allows more modular proofs. Our automated reasoning algorithms include a scheme for separation logic based symbolic execution of programs, and automated provers for solving various kinds of entailment problems. The latter are presented in the form of sets of derived proof rules which are constrained enough to be read as a proof search algorithm
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