A similarity-aware approach to testing based fault localization
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Testing-based interactive fault localization
Proceedings of the 28th international conference on Software engineering
On similarity-awareness in testing-based fault localization
Automated Software Engineering
Application of redundant computation in program debugging
Journal of Systems and Software
Dichotomy Method toward Interactive Testing-Based Fault Localization
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Test input reduction for result inspection to facilitate fault localization
Automated Software Engineering
Prioritizing tests for fault localization through ambiguity group reduction
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
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In the process of software maintenance, it is usually a time-consuming task to track down bugs. To reduce the cost on debugging, several approaches have been proposed to localize the fault(s) to facilitate debugging. Intuitively, testing-based fault localization (TBFL), such as dicing and TRANTULA, is quite promising as it can take the advantage of a large set of execution traces at the same time. However, redundant test cases may bias the distribution of the test suite and harm this kind of approaches. Therefore, we suggest that the test suite, which is the input of TBFL, should be reduced before used in TBFL. To evaluate whether and to what extent TBFL can benefit from test suite reduction, we performed an experimental study on two source programs. The experimental results show that, for test suites containing unevenly distributed redundant test cases, performing test suite reduction before applying TBFL may be more advantageous.