Quantitative Symbolic Non-Equivalence Analysis

Equivalence analysis focuses on assessing whether different programs, or different versions of a program, exhibit identical behavior. While extensive research has been done on equivalence analysis, there is a lack of detailed and quantitative reasoning techniques for non-equivalence. In this paper we introduce quantitative symbolic non-equivalence analysis and evaluate its effectiveness on the EqBench [3] benchmark (the largest available benchmark for equivalence analysis), and demonstrate how it can be used for reasoning about the non-equivalence of different versions of C programs.

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Published
2024-10-18
DOI
https://doi.org/10.1145/3691620.3695324
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantitative Symbolic Non-Equivalence Analysis

Laboni Sarker, Tevfik Bultan
Software Testing and Debugging Techniques
article

Quantitative Symbolic Non-Equivalence Analysis

Laboni Sarker, Tevfik Bultan
article en

Abstract

Equivalence analysis focuses on assessing whether different programs, or different versions of a program, exhibit identical behavior. While extensive research has been done on equivalence analysis, there is a lack of detailed and quantitative reasoning techniques for non-equivalence. In this paper we introduce quantitative symbolic non-equivalence analysis and evaluate its effectiveness on the EqBench [3] benchmark (the largest available benchmark for equivalence analysis), and demonstrate how it can be used for reasoning about the non-equivalence of different versions of C programs.

University of California, Santa Barbara (US)
National Science Foundation
Openalex Percentile: Top 81%
Software Testing and Debugging Techniques
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