Many fields of science rely on software systems to answer different research questions. For valid results researchers need to trust the results scientific software produces, and consequently quality assurance is of utmost importance. In this paper we are investigating the impact of quality assurance in the domain of computational materials science (CMS). Based on our experience in this domain we formulate challenges for validation and verification of scientific software and their results. Furthermore, we describe directions for future research that can potentially help dealing with these challenges
Challenges for Verifying and Validating Scientific Software in Computational Materials Science
2019 ; Montreal, Canada
2019-09-05
Conference paper
Electronic Resource
English
Computational Materials Science , software systems , results scientific software , research questions , CMS , Software , materials science computing , software quality , Complexity theory , computational materials science , Standards , Validation and Verification , Materials science and technology , Scientific Software , Software engineering , Physics , program verification , quality assurance , Testing , validating scientific software
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