Enhanced Sharing Analysis Techniques: A Comprehensive Evaluation
Patricia M. Hill
Abstract:Sharing, an abstract domain developed by D.~Jacobs and A.~Langen for the analysis of logic programs, derives useful aliasing information. It is well-known that a commonly used core of techniques, such as the integration of Sharing with freeness and linearity information, can significantly improve the precision of the analysis. However, a number of other proposals for refined domain combinations have been circulating for years. One feature that is common to these proposals is that they do not seem to have undergone a thorough experimental evaluation even with respect to the expected precision gains. In this paper we experimentally evaluate: helping Sharing with the definitely ground variables found using Pos, the domain of positive Boolean formulas; the incorporation of explicit structural information; a full implementation of the reduced product of Sharing and Pos; the issue of reordering the bindings in the computation of the abstract mgu; an original proposal for the addition of a new mode recording the set of variables that are deemed to be ground or free; a refined way of using linearity to improve the analysis; the recovery of hidden information in the combination of Sharing with freeness information. Finally, we discuss the issue of whether tracking compoundness allows the computation of more sharing information.
Keywords: Abstract Interpretation; Logic Programming; Sharing Analysis; Experimental Evaluation.
Dedication:This paper is dedicated to all those who take a visible stance in favor of scientific integrity. In particular, it is dedicated to David Goodstein, for ``Conduct and Misconduct in Science''; to John Koza, for ``A Peer Review of the Peer Reviewing Process of the International Machine Learning Conference''; to Krzysztof Apt, Veronica Dahl and Catuscia Palamidessi for the Association for Logic Programming's ``Code of Conduct for Referees''; and to the large number of honest and thorough referees who do so much to help maintain and improve the quality of all publications.
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