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
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.
Keywords
- Equivalence classes
- evolutionary testing
- functional testing
- automotive industry
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