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Constrained locating arrays for combinatorial interaction testing

Jin, Hao ; Tsuchiya, Tatsuhiro

The Journal of systems and software, 2020-12, Vol.170, p.110771, Article 110771 [Periódico revisado por pares]

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Título:
Constrained locating arrays for combinatorial interaction testing
Autor: Jin, Hao ; Tsuchiya, Tatsuhiro
Assuntos: Combinatorial interaction testing ; Covering arrays ; Locating arrays ; Software testing
É parte de: The Journal of systems and software, 2020-12, Vol.170, p.110771, Article 110771
Descrição: This paper introduces the notion of Constrained Locating Arrays (CLAs), mathematical objects which can be used for fault localization in software testing. CLAs extend ordinary locating arrays to make them applicable to testing of systems that have constraints on test parameters. Such constraints are common in real-world systems; thus CLA enhances the applicability of locating arrays to practical testing problems. The paper also proposes an algorithm for constructing CLAs. Experimental results show that the proposed algorithm scales to problems of practical sizes. •Constrained Locating Arrays (CLAs) are proposed to identify faults in combinatorial interaction testing.•CLAs are an adaptation of locating arrays to systems that have constraints among test parameters.•A heuristic algorithm is proposed to quickly generate CLAs.•Experimental results show that the proposed algorithm scales to large problem instances arising in real-world.
Editor: Elsevier Inc
Idioma: Inglês

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