Publication
Title
On the use of sequence mining within spectrum based fault localisation
Author
Abstract
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.
Language
English
Source (book)
SAC '18 Proceedings of the 33rd Annual ACM Symposium on Applied Computing, April 9-13, 2018, Pau, France
Publication
New york : Assoc computing machinery , 2018
ISBN
978-1-4503-5191-1
978-1-4503-5191-1
978-1-4503-5191-1
Volume/pages
(2018) , p. 1916-1924
ISI
000455180700269
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
BOF Sabbatical Leave- Prof. Demeyer.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 19.11.2018
Last edited 04.09.2021
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