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Precise and Efficient Groundless for Logic Programs KIM MARRIOTT Monash University and HARALD S0 NDERGAARD The University of Melbourne Analysis We show how precise groundless information can be extracted from logic programs. The idea is to use abstract interpretation with Boolean functions as approximations to groundless dependencies between variables. This idea is not new, and different classes of Boolean functions have functions, is more suitable than been used. We argue, however, that one class, the positiue others. Positive Boolean functions have a certain property which we (inspired by A. Langen) call condensation. This property allows for rapid computation of groundless information. Techniques]: Logic Programming; Categories and Subject Descriptors: D.1.6 [Programming Languages]: Processors compilers; optimization; F.3.1 [Logics and D.3.4. [Programming Meanings of Programs]: Specifying and Verifying and Reasoning about Programs-assertions; invariants; logics of programs General Terms: Languages, Theory interpretation, condensation, groundless analysis, Additional Key Words and Phrases: Abstract propositional logic 1. INTRODUCTION Groundless analysis is arguably the most important dataflow analysis for point, is variable x always logic programs. The question At a given program that contains no variables? is not only important for an bound to a term optimizing cally The every reason compiler programming
ACM Letters on Programming Languages and Systems (LOPLAS) – Association for Computing Machinery
Published: Mar 1, 1993
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