[en] 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/s5M52xWCj84
Centre de recherche :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation
Disciplines :
Sciences informatiques
Auteur, co-auteur :
VIGANO, Enrico ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
CORNEJO OLIVARES, Oscar Eduardo ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
PASTORE, Fabrizio ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
BRIAND, Lionel ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
DaMAT: A Data-driven Mutation Analysis Tool
Date de publication/diffusion :
12 juillet 2023
Nom de la manifestation :
45th International Conference on Software Engineering
Date de la manifestation :
from 14-05-2023 to 20-05-2023
Manifestation à portée :
International
Titre de l'ouvrage principal :
Companion Proceedings of the 45th International Conference on Software Engineering (ICSE ’23)
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