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DaMAT: A Data-driven Mutation Analysis Tool
VIGANO, Enrico; CORNEJO OLIVARES, Oscar Eduardo; PASTORE, Fabrizio et al.
2023In Companion Proceedings of the 45th International Conference on Software Engineering (ICSE ’23)
Peer reviewed
 

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Keywords :
Mutation analysis; CPS
Abstract :
[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
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation
Disciplines :
Computer science
Author, co-author :
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
External co-authors :
no
Language :
English
Title :
DaMAT: A Data-driven Mutation Analysis Tool
Publication date :
12 July 2023
Event name :
45th International Conference on Software Engineering
Event date :
from 14-05-2023 to 20-05-2023
Audience :
International
Main work title :
Companion Proceedings of the 45th International Conference on Software Engineering (ICSE ’23)
Publisher :
IEEE
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Name of the research project :
RFQ/3-17554/21/NL/AS/kk/FAQAS2
Funders :
ASE - Agence Spatiale Européenne [FR]
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since 13 March 2023

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