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Title
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On the use of sequence mining within spectrum based fault localisation
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Author
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Abstract
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| Spectrum based fault localisation is a widely studied class of heuristics for locating faults within a software program. Unfortunately, the current state of the art ignores the inherent dependencies between the methods leading up to the fault, hence having a limited diagnostic accuracy. In this paper we present a variant of spectrum based fault localisation, which leverages series of method calls by means of sequence mining. We validate our variant (we refer to it as sequenced spectrum analysis) on the Defects4J benchmark, demonstrating that sequenced spectrum analysis gains a 12% points improvement against the state of the art. |
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Language
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English
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Source (book)
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SAC '18 Proceedings of the 33rd Annual ACM Symposium on Applied Computing, April 9-13, 2018, Pau, France
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Publication
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New york
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Assoc computing machinery
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2018
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ISBN
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978-1-4503-5191-1
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978-1-4503-5191-1
978-1-4503-5191-1
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DOI
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10.1145/3167132.3167337
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Volume/pages
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(2018)
, p. 1916-1924
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ISI
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000455180700269
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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