A survey of combinatorial testing
By Changhai Nie, Hareton K. N. Leung. CSUR, 2011
786 citations recorded by the source corpus.
Subfields: Information Systems, Software
View Paper: https://www.semanticscholar.org/paper/9df638fb7c6d58cd1208a80249d5a410025d32c1
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Citations in the corpus
- Robustness Testing of Autonomy Software (2017, methodology): “such as combinatorial testing [33] or the testing ecosystem that has sprung up around Android testing [7], it’s possible that these techniques could be used in the robotic systems domain by making similar modifications to them as those presented in this paper.”
- This paper is included in the Proceedings of the 2022 USENIX Annual Technical Conference. (positive): “To this end, we refer to the combinatorial testing (CT) theory [41] for software testing in the software engineering field.”
- A Classification and Survey of Analysis Strategies for Software Product Lines (2014, methodology): “A typical strategy is to sample a smaller number of products, usually based on some coverage criteria, such that still reasonable statements on the correctness or other properties of the entire product line are possible [Oster et al. 2010; Perrouin et al. 2010; Nie and Leung 2011].”