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Analysis combines model checking and theorem proving for bioinformatics software, indicating potential flaws.
While there is explosive growth in the creation of biological data, researchers rely on ad hoc verification methods such as testing with small simulated datasets. Due to their importance in biology and biomedicine, there is a critical need to verify these algorithms as well as their implementations to ensure that the results and conclusions are trustworthy. In this paper, we explore an effective combination of model checking and theorem proving of bioinformatics software, including BiopLib, BWA, Jellyfish, SDSL, Dashing, SPAdes, and MUMmer. We provide results for model checking for bioinfomatics software libraries and theorem proving for specific properties. Our model checking framework found several potential flaws in the two tools (BiopLib and BWA). We have also detected several failing cases in Succinct Data Structures Library (SDSL).
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Weerasena et al. (2025) studied this question.
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