@inproceedings{74041923b0ef4fe5b238d23b15420a8b,
title = "DaMAT: A Data-driven Mutation Analysis Tool",
abstract = "We present DaMAT, a tool that implements data-driven mutation analysis. In contrast to traditional code-driven mutation analysis tools it mutates (i.e., modifies) the data ex-changed by components instead of the source of the software under test. Such an approach helps ensure that test suites appropriately exercise components interoperability - essential for safety-critical cyber-physical systems. A user-provided fault model drives the mutation process. We have successfully evalu-ated DaMAT on software controlling a microsatellite and a set of libraries used in deployed CubeSats. A demo video of DaMAT is available at https://youtu.be/sSMS2xWCj84",
keywords = "CPS, Mutation analysis",
author = "Enrico Vigano and Oscar Cornejo and Fabrizio Pastore and Lionel Briand",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 45th IEEE/ACM International Conference on Software Engineering: Companion, ICSE-Companion 2023 ; Conference date: 14-05-2023 Through 20-05-2023",
year = "2023",
doi = "10.1109/ICSE-Companion58688.2023.00047",
language = "English",
series = "Proceedings - International Conference on Software Engineering",
publisher = "IEEE Computer Society",
pages = "165--169",
booktitle = "Proceedings - 2023 IEEE/ACM 45th International Conference on Software Engineering",
}