Aggregate-strength interaction test suite prioritization

Huang, Rubing and Chen, Jinfu and Towey, Dave and Chan, Alvin T.S. and Lu, Yansheng (2015) Aggregate-strength interaction test suite prioritization. Journal of Systems and Software, 99 . pp. 36-51. ISSN 0164-1212

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Abstract

Combinatorial interaction testing is a widely used approach. In testing, it is often assumed that all combinatorial test cases have equal fault detection capability, however it has been shown that the execution order of an interaction test suite's test cases may be critical, especially when the testing resources are limited. To improve testing cost-effectiveness, test cases in the interaction test suite can be prioritized, and one of the best-known categories of prioritization approaches is based on “fixed-strength prioritization”, which prioritizes an interaction test suite by choosing new test cases which have the highest uncovered interaction coverage at a fixed strength (level of interaction among parameters). A drawback of these approaches, however, is that, when selecting each test case, they only consider a fixed strength, not multiple strengths. To overcome this, we propose a new “aggregate-strength prioritization”, to combine interaction coverage at different strengths. Experimental results show that in most cases our method performs better than the test-case-generation, reverse test-case-generation, and random prioritization techniques. The method also usually outperforms “fixed-strength prioritization”, while maintaining a similar time cost.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/742234
Keywords: Software testing; combinatorial interaction testing; test case prioritization; interaction coverage; fixed-strength prioritization; aggregate-strength prioritization;algorithm
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
Identification Number: https://doi.org/10.1016/j.jss.2014.09.002
Depositing User: QIU, Lulu
Date Deposited: 14 May 2018 13:00
Last Modified: 04 May 2020 16:59
URI: http://eprints.nottingham.ac.uk/id/eprint/51753

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