Publication Type
Conference Proceeding Article
Version
submittedVersion
Publication Date
11-2011
Abstract
Many spectrum-based fault localization measures have been proposed in the literature. However, no single fault localization measure completely outperforms others: a measure which is more accurate in localizing some bugs in some programs is less accurate in localizing other bugs in other programs. This paper proposes to compose existing spectrum-based fault localization measures into an improved measure. We model the composition of various measures as an optimization problem and present a search-based approach to explore the space of many possible compositions and output a heuristically near optimal composite measure. We employ two search-based strategies including genetic algorithm and simulated annealing to look for optimal solutions and compare the effectiveness of the resulting composite measures on benchmark software systems. Compared to individual spectrum-based fault localization techniques, our composite measures perform statistically significantly better.
Discipline
Software Engineering
Research Areas
Software Systems
Publication
ASE 2011: 26th IEEE/ACM International Conference on Automated Software Engineering, 6-10 November 2011, Lawrence, KS: Proceedings
First Page
556
Last Page
559
ISBN
9781457716386
Identifier
10.1109/ASE.2011.6100124
Publisher
IEEE
City or Country
Lawrence, USA
Citation
WANG, Shaowei; LO, David; JIANG, Lingxiao; Lucia, -; and LAU, Hoong Chuin.
Search-Based Fault Localization. (2011). ASE 2011: 26th IEEE/ACM International Conference on Automated Software Engineering, 6-10 November 2011, Lawrence, KS: Proceedings. 556-559.
Available at: https://ink.library.smu.edu.sg/sis_research/1391
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://dx.doi.org/10.1109/ASE.2011.6100124