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Fault Localization for Declarative Models in Alloy by Wang, Kaiyuan; Sullivan, Allison; Marinov, Darko; Khurshid, Sarfraz is a scholarly article available to read on EtoBox.

What is Fault Localization for Declarative Models in Alloy about?

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.

Author

Wang, Kaiyuan; Sullivan, Allison; Marinov, Darko; Khurshid, Sarfraz

Published

2018

Language

EN