Test case prioritization using online fault detection information

Laali, M, Liu, H, Hamilton, M, Spichkova, M and Schmidt, H 2016, 'Test case prioritization using online fault detection information', in Proceedings of the 21st Ada-Europe International Conference on Reliable Software Technologies, Pisa, Italy, 13-17 June 2016, pp. 78-93.


Document type: Conference Paper
Collection: Conference Papers

Title Test case prioritization using online fault detection information
Author(s) Laali, M
Liu, H
Hamilton, M
Spichkova, M
Schmidt, H
Year 2016
Conference name 21st Ada-Europe International Conference on Reliable Software Technologies
Conference location Pisa, Italy
Conference dates 13-17 June 2016
Proceedings title Proceedings of the 21st Ada-Europe International Conference on Reliable Software Technologies
Publisher Springer
Place of publication Switzerland
Start page 78
End page 93
Total pages 16
Abstract The rapid evolution of software necessitates effective fault detection within increasingly restricted execution times. To improve the effectiveness of the regression testing required for extensive fault detection, test cases have to be prioritized. The test cases with the higher chance of capturing faults are executed earlier in the series. This prioritization enables faster feedback for fixing more faults earlier. Various prioritization techniques have been proposed based on the information provided by offline (static) test execution history on previous versions of the software. In this paper, we propose a family of new test case prioritization techniques, which utilize online (dynamic) information about the locations of previously revealed faults in the detection of other faults. Our empirical studies demonstrate that the new techniques are more effective than the existing traditional test case prioritization techniques.
Subjects Software Engineering
Keyword(s) Software testing
Regression testing
Test case prioritization
Online test prioritization
DOI - identifier 10.1007/978-3-319-39083-3_6
Copyright notice © Springer International Publishing Switzerland 2016
ISBN 9783319390833
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