More Precise Yet Efficient Type Inference for Logic Programs

Claudio Vaucheret; Francisco Bueno

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More Precise Yet Efficient Type Inference for Logic Programs

Claudio Vaucheret·Francisco Bueno

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Abstract

Type analyses of logic programs which aim at inferring the types of the program being analyzed are presented in a unified abstract interpretation-based framework. This covers most classical abstract interpretation-based type analyzers for logic programs, built on either top-down or bottom-up interpretation of the program. In this setting, we discuss the widening operator, arguably a crucial one. We present a new widening which is more precise than those previously proposed. Practical results with our analysis domain are also presented, showing that it also allows for efficient analysis.

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Claudio Vaucheret, Francisco Bueno. 2002-07-12. More Precise Yet Efficient Type Inference for Logic Programs. https://arxiv.org/abs/cs/0207049

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