White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Enhanced sharing analysis techniques: a comprehensive evaluation

Bagnara, R., Zeffanella, E. and Hill, P.M. (2005) Enhanced sharing analysis techniques: a comprehensive evaluation. Theory and Practice of Logic Programming, 5 (1-2). pp. 1-43. ISSN 1471-0684

Full text available as:
[img]
Preview
Text
hillP4.pdf
Available under License : See the attached licence file.

Download (294Kb)

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.

Item Type: Article
Copyright, Publisher and Additional Information: © 2005 Cambridge University Press.
Keywords: abstract interpretation, logic programming, sharing analysis, experimental evaluation
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Repository Assistant
Date Deposited: 18 May 2006
Last Modified: 08 Feb 2013 17:02
Published Version: http://dx.doi.org/10.1017/S1471068404001978
Status: Published
Publisher: Cambridge University Press
Refereed: Yes
Identification Number: 10.1017/S1471068404001978
URI: http://eprints.whiterose.ac.uk/id/eprint/1207

Actions (login required)

View Item View Item