DagSemProc.08351.8.pdf
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Using evolutionary algorithms to select parameters from equivalence classes
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Dagstuhl Seminar Proceedings, Volume 8351
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2009-05-25
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Felix Lindlar and Abel Marrero Pérez. Using evolutionary algorithms to select parameters from equivalence classes. In Evolutionary Test Generation. Dagstuhl Seminar Proceedings, Volume 8351, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)
https://doi.org/10.4230/DagSemProc.08351.8
Abstract
This paper presents some ideas about an approach which aims at extending existing methodologies for functional testing. Experience in automotive applications has shown that when selecting parameters for functional testing, many times a tester has equivalence classes in mind. Instead of losing valuable information in the process, support should be given to make them manageable. The proposed approach suggests evolutionary testing strategies to search for critical representatives within equivalence classes.
Subject Classification
Keywords
- Equivalence classes
- evolutionary testing
- functional testing
- automotive industry
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