A Benchmark Generator for Combinatorial Testing
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Abstract (arXiv)
Combinatorial Testing (CT) tools are essential to test properly a wide range of systems (train systems, Graphical User Interfaces (GUIs), autonomous driving systems, etc). While there is an active research community working on developing CT tools, paradoxically little attention has been paid to making available enough resources to test the CT tools themselves. In particular, the set of available benchmarks to asses their correctness, effectiveness and efficiency is rather limited. In this paper, we introduce a new generator of CT benchmarks that essentially borrows the structure contained in the plethora of available Combinatorial Problems from other research communities in order to create meaningful benchmarks. We additionally perform an extensive evaluation of CT tools with these new benchmarks. Thanks to this study we provide some insights on under which circumstances a particular CT tool should be used.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 37 references that are in the map. First posted on arXiv 29 Dec 2022.
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References · 1
- 2021Incomplete MaxSAT Approaches for Combinatorial Testingcited by 5
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