Visualization of test information to assist fault localization
Proceedings of the 24th International Conference on Software Engineering
Improving test suites for efficient fault localization
Proceedings of the 28th international conference on Software engineering
On the Accuracy of Spectrum-based Fault Localization
TAICPART-MUTATION '07 Proceedings of the Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION
An empirical study of the effects of test-suite reduction on fault localization
Proceedings of the 30th international conference on Software engineering
A Systematic Study of Failure Proximity
IEEE Transactions on Software Engineering
A family of code coverage-based heuristics for effective fault localization
Journal of Systems and Software
Cleansing Test Suites from Coincidental Correctness to Enhance Fault-Localization
ICST '10 Proceedings of the 2010 Third International Conference on Software Testing, Verification and Validation
Directed test generation for effective fault localization
Proceedings of the 19th international symposium on Software testing and analysis
Hi-index | 0.00 |
Spectrum based fault localization techniques such as Tarantula and Ochiai calculate the suspiciousness score of a program statement using the number of failing and passing test cases that execute the statement. These techniques implicitly assume that all test cases are equally important. However, research on test case generation and selection techniques has shown that using certain test cases can lead to more effective fault localization than others. The proposed research aims to improve the effectiveness of spectrum based fault localization by incorporating the relative importance of different test cases in the calculation of suspiciousness scores.