Prioritization of combinatorial test cases by incremental interaction coverage

Huang, Rubing, Xie, Xiaodong, Towey, Dave, Chen, Tsong Yueh, Lu, Yansheng and Chen, Jinfu (2013) Prioritization of combinatorial test cases by incremental interaction coverage. International Journal of Software Engineering and Knowledge Engineering, 23 (10). pp. 1427-1457. ISSN 0218-1940

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Abstract

Combinatorial testing is a well-recognized testing method, and has been widely applied in practice. To facilitate analysis, a common approach is to assume that all test cases in a combinatorial test suite have the same fault detection capability. However, when testing resources are limited, the order of executing the test cases is critical. To improve testing cost-effectiveness, prioritization of combinatorial test cases is employed. The most popular approach is based on interaction coverage, which prioritizes combinatorial test cases by repeatedly choosing an unexecuted test case that covers the largest number on uncovered parameter value combinations of a given strength (level of interaction among parameters). However, this approach suffers from some drawbacks. Based on previous observations that the majority of faults in practical systems can usually be triggered with parameter interactions of small strengths, we propose a new strategy of prioritizing combinatorial test cases by incrementally adjusting the strength values. Experimental results show that our method performs better than the random prioritization technique and the technique of prioritizing combinatorial test suites according to test case generation order, and has better performance than the interaction-coverage-based test prioritization technique in most cases.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/719071
Keywords: Software testing; combinatorial testing; test case prioritization; interaction coverage; incremental interaction coverage; algorithm
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
Identification Number: https://doi.org/10.1142/S0218194013500459
Depositing User: QIU, Lulu
Date Deposited: 17 May 2018 13:00
Last Modified: 04 May 2020 16:39
URI: https://eprints.nottingham.ac.uk/id/eprint/51844

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