Improving abstract interpretations by combining domains

Author:

Codish Michael1,Mulkers Anne2,Bruynooghe Maurice2,de la Banda Maria García3,Hermenegildo Manuel3

Affiliation:

1. Ben-Gurion Univ. of the Negev, Beer-Sheba, Israel

2. Katholieke Univ. Leuven, Heverlee, Belgium

3. Univ. Polite´cnica de Madrid, Madrid, Spain

Abstract

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 literature both from the point of view of efficiency and accuracy.

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Reference28 articles.

1. A general framework for semantics-based bottom-up abstract interpretation of logic programs

2. A practical framework for theabstract interpretation of logic programs

3. CODISH M. DAMS D. AND YARDBNI E. 1994a. Bottom-up abstract interpretation of logic programs. J. Theor. Comput Sci. i~4 93-125. 10.1016/0304-3975(94)90055-8 CODISH M. DAMS D. AND YARDBNI E. 1994a. Bottom-up abstract interpretation of logic programs. J. Theor. Comput Sci. i~4 93-125. 10.1016/0304-3975(94)90055-8

Cited by 41 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Polynomial Analysis of Modular Arithmetic;Static Analysis;2023

2. A Rule-Based Approach for Designing and Composing Abstract Domains;Logic-Based Program Synthesis and Transformation;2023

3. Lifting String Analysis Domains;Intelligent Systems Reference Library;2023

4. SpecChecker-ISA: a data sharing analyzer for interrupt-driven embedded software;Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis;2022-07-18

5. Mix your contexts well: opportunities unleashed by recent advances in scaling context-sensitivity;Proceedings of the 29th International Conference on Compiler Construction;2020-02-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3