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Data-driven Mutation Analysis for Cyber-Physical Systems

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posted on 2022-10-05, 10:40 authored by Enrico ViganòEnrico Viganò, Fabrizio PastoreFabrizio Pastore, Oscar CornejoOscar Cornejo, Lionel Briand

Replicability package for the manuscript "Data-driven Mutation Analysis for Cyber-Physical Systems" by Enrico Viganò, Oscar Cornejo, Fabrizio Pastore, and Lionel C. Briand. The paper appears in IEEE Transactions on Software Engineering.


The replicability package contains the source code for DaMAT and the data used in the empirical evaluation.

For more information refer to README.md

Funding

This work has been funded by the European Space Agency (ITT-1-9873/FAQAS), the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 694277), and NSERC Discovery and Canada Research Chair programs. Authors would like to thank the ESA ESTEC officers, the GomSpace Luxembourg team, LuxSpace software engineers, and Yago Isasi Parache for their valuable support

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    Keywords

    mutation analysisCyber Physical System (CPS)INTEROPERABILITYintegrationSoftware Engineering

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    CC BY 4.0

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