Test Case Grouping and Filtering for Better Performance of Spectrum-based Fault Localization 


Vol. 43,  No. 8, pp. 883-892, Aug.  2016


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  Abstract

Spectrum-based fault localization (SFL) method assigns a suspicious ratio. The statement is strongly affected by a failed test case compared to a passed test case. A failed test case assigns a suspicious ratio while a passed test case reduces some parts of assigned suspicious ratio. In the absence of a failed test case, it is impossible to localize the fault. Thus, a failed test case is very important for fault localization. However, spectrum-based fault localization has difficulty in reflecting the unique characteristics of a failed test because a failed test case and a passed test case are input at the same time to calculate a suspicious ratio. This paper supplements for this limitation and suggests a test case grouping method for more accurate fault localization. In addition, this paper suggested a filtering method considering test efficiency and verified the effectiveness by applying 65 algorithms. In 90 % of whole methods, the accuracy was improved by 13% and the effectiveness was improved by 72% based on EXAM score.


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  Cite this article

[IEEE Style]

J. Kim and E. Lee, "Test Case Grouping and Filtering for Better Performance of Spectrum-based Fault Localization," Journal of KIISE, JOK, vol. 43, no. 8, pp. 883-892, 2016. DOI: .


[ACM Style]

Jeongho Kim and Eunseok Lee. 2016. Test Case Grouping and Filtering for Better Performance of Spectrum-based Fault Localization. Journal of KIISE, JOK, 43, 8, (2016), 883-892. DOI: .


[KCI Style]

김정호, 이은석, "결함위치식별 기법의 성능 향상을 위한 테스트케이스 그룹화 및 필터링 기법," 한국정보과학회 논문지, 제43권, 제8호, 883~892쪽, 2016. DOI: .


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