Fault Localization for Declarative Models in Alloy
July 23, 2018 Β· Declared Dead Β· π IEEE International Symposium on Software Reliability Engineering
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Authors
Kaiyuan Wang, Allison Sullivan, Darko Marinov, Sarfraz Khurshid
arXiv ID
1807.08707
Category
cs.SE: Software Engineering
Citations
32
Venue
IEEE International Symposium on Software Reliability Engineering
Last Checked
4 months ago
Abstract
Fault localization is a popular research topic and many techniques have been proposed to locate faults in imperative code, e.g. C and Java. In this paper, we focus on the problem of fault localization for declarative models in Alloy -- a first order relational logic with transitive closure. We introduce AlloyFL, the first set of fault localization techniques for faulty Alloy models which leverages multiple test formulas. AlloyFL is also the first set of fault localization techniques at the AST node granularity. We implements in AlloyFL both spectrum-based and mutation-based fault localization techniques, as well as techniques that are based on Alloy's built-in unsat core. We introduce new metrics to measure the accuracy of AlloyFL and systematically evaluate AlloyFL on 38 real faulty models and 9000 mutant models. The results show that the mutation-based fault localization techniques are significantly more accurate than other types of techniques.
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