Assessing and Comparing Mutation-based Fault Localization Techniques
July 19, 2016 Β· Declared Dead Β· π arXiv.org
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Authors
Thierry Titcheu Chekam, Mike Papadakis, Yves Le Traon
arXiv ID
1607.05512
Category
cs.SE: Software Engineering
Citations
19
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Recent research demonstrated that mutation-based fault localization techniques are relatively accurate and practical. However, these methods have never been compared and have only been assessed with simple hand-seeded faults. Therefore, their actual practicality is questionable when it comes to real-wold faults. To deal with this limitation we asses and compare the two main mutation-based fault localization methods, named Metallaxis and MUSE, on a set of real-world programs and faults. Our results based on three typical evaluation metrics indicate that mutation-based fault localization methods are relatively accurate and provide relevant information to developers. Overall, our result indicate that Metallaxis and MUSE require 18% and 37% of the program statements to find the sought faults. Additionally, both methods locate 50% and 80% of the studied faults when developers inspect 10 and 25 statements.
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