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125
NonFailure Analysis for Logic Programs
 ACM Transactions on Programming Languages and Systems
, 1997
"... We provide a method whereby, given mode and (upper approximation) type information, we can detect procedures and goals that can be guaranteed to not fail (i.e., to produce at least one solution or not terminate). The technique is based on an intuitively very simple notion, that of a (set of) tests & ..."
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Cited by 131 (13 self)
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We provide a method whereby, given mode and (upper approximation) type information, we can detect procedures and goals that can be guaranteed to not fail (i.e., to produce at least one solution or not terminate). The technique is based on an intuitively very simple notion, that of a (set of) tests "covering" the type of a set of variables. We show that the problem of determining a covering is undecidable in general, and give decidability and complexity results for the Herbrand and linear arithmetic constraint systems. We give sound algorithms for determining covering that are precise and efficient in practice. Based on this information, we show how to identify goals and procedures that can be guaranteed to not fail at runtime. Applications of such nonfailure information include programming error detection, program transformations and parallel execution optimization, avoiding speculative parallelism and estimating lower bounds on the computational costs of goals, which can be used for ...
SSemantics Approach: Theory and Applications
, 1994
"... The paper is a general overview of an approach to the semantics of logic programs whose aim is finding notions of models which really capture the operational semantics, and are therefore useful for defining program equivalences and for semanticsbased program analysis. The approach leads to the intr ..."
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Cited by 123 (28 self)
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The paper is a general overview of an approach to the semantics of logic programs whose aim is finding notions of models which really capture the operational semantics, and are therefore useful for defining program equivalences and for semanticsbased program analysis. The approach leads to the introduction of extended interpretations which are more expressive than Herbrand interpretations. The semantics in terms of extended interpretations can be obtained as a result of both an operational (topdown) and a fixpoint (bottomup) construction. It can also be characterized from the modeltheoretic viewpoint, by defining a set of extended models which contains standard Herbrand models. We discuss the original construction modeling computed answer substitutions, its compositional version and various semantics modeling more concrete observables. We then show how the approach can be applied to several extensions of positive logic programs. We finally consider some applications, mainly in the area of semanticsbased program transformation and analysis.
Fast and Precise Regular Approximation of Logic Programs
, 1993
"... A practical procedure for computing a regular approximation of a logic program is given. Regular approximations are useful in a variety of tasks in debugging, program specialisation and compiletime optimisation. The algorithm shown here incorporates optimisations taken from deductive database fixpo ..."
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Cited by 104 (19 self)
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A practical procedure for computing a regular approximation of a logic program is given. Regular approximations are useful in a variety of tasks in debugging, program specialisation and compiletime optimisation. The algorithm shown here incorporates optimisations taken from deductive database fixpoint algorithms and efficient bottomup abstract interpretation techniques. Frameworks for defining regular approximations have been put forward in the past, but the emphasis has usually been on theoretical aspects. Our results contribute mainly to the development of effective analysis tools that can be applied to large programs. Precision of the approximation can be greatly improved by applying queryanswer transformations to a program and a goal, thus capturing some argument dependency information. A novel technique is to use transformations based on computation rules other than lefttoright to improve precision further. We give performance results for our procedure on a range of programs. 1
Improving abstract interpretations by combining domains
 ACM TRANSACTIONS ON PROGRAMMING LANGUAGES AND SYSTEMS
, 1995
"... This article considers static analysis based on abstract interpretation of logic programs over combined domains. It is known that analyses over combined domains provide more information potentially than obtained by the independent analyses. However, the construction of a combined analysis often requ ..."
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Cited by 58 (18 self)
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This article considers static analysis based on abstract interpretation of logic programs over combined domains. It is known that analyses over combined domains provide more information potentially than obtained by the independent analyses. However, the construction of a combined analysis often requires redefining the basic operations for the combined domain. A practical approach to maintain precision in combined analyses of logic programs which reuses the individual analyses and does not redefine the basic operations is illustrated, The advantages of the approach are that (1) proofs of correctness for the new domains are not required and (2) implementations can be reused. The approach is demonstrated by showing that a combined sharing analysis — constructed from “old” proposals — compares well with other “new” proposals suggested in recent
A framework of directionality for proving termination of logic programs
 Proc. JICSLP
, 1992
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19831993: The Wonder Years of Sequential Prolog Implementation
, 1993
"... This report surveys the major developments in sequential Prolog implementation during the period 19831993. In this decade, implementation technology has matured to such a degree that Prolog has left the university and become useful in industry. The survey is divided into four parts. The first part ..."
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Cited by 50 (4 self)
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This report surveys the major developments in sequential Prolog implementation during the period 19831993. In this decade, implementation technology has matured to such a degree that Prolog has left the university and become useful in industry. The survey is divided into four parts. The first part gives an overview of the important technical developments starting with the Warren Abstract Machine (WAM). The second part presents the history and the contributions of the major software and hardware systems. The third part charts the evolution of Prolog performance since Warren's DEC10 compiler. The fourth part extrapolates current trends regarding the evolution of sequential logic languages, their implementation, and their role in the marketplace.
Directional Type Checking of Logic Programs
 In Proceedings of the 1st International Static Analysis Symposium
, 1994
"... We present an algorithm for automatic type checking of logic programs with respect to directional types that describe both the structure of terms and the directionality of predicates. The type checking problem is reduced to a decidable problem on systems of inclusion constraints over set expressio ..."
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Cited by 44 (1 self)
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We present an algorithm for automatic type checking of logic programs with respect to directional types that describe both the structure of terms and the directionality of predicates. The type checking problem is reduced to a decidable problem on systems of inclusion constraints over set expressions. We discuss some properties of the reduction algorithm, complexity, and present a proof of correctness. 1 1 Introduction Most logic programming languages are untyped. In Prolog, for example, it is considered meaningful to apply any nary predicate to any ntuple of terms. However, it is generally accepted that static type checking has great advantages in detecting programming errors early and for generating efficient executable code. Motivated at least in part by the success of type systems for procedural and functional languages, there is currently considerable interest in finding appropriate definitions of type and welltyping for logic languages. This paper explores the type checki...
FiniteTree Analysis for Constraint LogicBased Languages: The Complete Unabridged Version
, 2001
"... Logic languages based on the theory of rational, possibly infinite, trees have much appeal in that rational trees allow for faster unification (due to the safe omission of the occurscheck) and increased expressivity (cyclic terms can provide very efficient representations of grammars and other usef ..."
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Cited by 43 (16 self)
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Logic languages based on the theory of rational, possibly infinite, trees have much appeal in that rational trees allow for faster unification (due to the safe omission of the occurscheck) and increased expressivity (cyclic terms can provide very efficient representations of grammars and other useful objects). Unfortunately, the use of infinite rational trees has problems. For instance, many of the builtin and library predicates are illdefined for such trees and need to be supplemented by runtime checks whose cost may be significant. Moreover, some widelyused program analysis and manipulation techniques are correct only for those parts of programs working over finite trees. It is thus important to obtain, automatically, a knowledge of the program variables (the finite variables) that, at the program points of interest, will always be bound to finite terms. For these reasons, we propose here a new dataflow analysis, based on abstract interpretation, that captures such information. We present a parametric domain where a simple component for recording finite variables is coupled, in the style of the open product construction of Cortesi et al., with a generic domain (the parameter of the construction) providing sharing information. The sharing domain is abstractly specified so as to guarantee the correctness of the combined domain and the generality of the approach. This finitetree analysis domain is further enhanced by coupling it with a domain of Boolean functions, called finitetree dependencies, that precisely captures how the finiteness of some variables influences the finiteness of other variables. We also summarize our experimental results showing how finitetree analysis, enhanced with finitetree dependencies, is a practical means of obtaining precise finitenes...
Logic Program Specialisation: How To Be More Specific
 Proceedings of the International Symposium on Programming Languages, Implementations, Logics and Programs (PLILP'96), LNCS 1140
, 1996
"... Standard partial deduction suffers from several drawbacks when compared to topdown abstract interpretation schemes. Conjunctive partial deduction, an extension of standard partial deduction, remedies one of those, namely the lack of sideways information passing. But two other problems remain: the l ..."
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Cited by 35 (22 self)
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Standard partial deduction suffers from several drawbacks when compared to topdown abstract interpretation schemes. Conjunctive partial deduction, an extension of standard partial deduction, remedies one of those, namely the lack of sideways information passing. But two other problems remain: the lack of successpropagation as well as the lack of inference of global successinformation. We illustrate these drawbacks and show how they can be remedied by combining conjunctive partial deduction with an abstract interpretation technique known as more specific program construction. We present a simple, as well as a more refined integration of these methods. Finally we illustrate the practical relevance of this approach for some advanced applications, like proving functionality or specialising certain metaprograms written in the ground representation, where it surpasses the precision of current abstract interpretation techniques. 1 Introduction The heart of any technique for partial deduc...