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Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08351.8
URN: urn:nbn:de:0030-drops-20120
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2009/2012/
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Lindlar, Felix ;
Marrero Pérez, Abel
Using evolutionary algorithms to select parameters from equivalence classes
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.
BibTeX - Entry
@InProceedings{lindlar_et_al:DagSemProc.08351.8,
author = {Lindlar, Felix and Marrero P\'{e}rez, Abel},
title = {{Using evolutionary algorithms to select parameters from equivalence classes}},
booktitle = {Evolutionary Test Generation},
pages = {1--2},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2009},
volume = {8351},
editor = {Holger Schlingloff and Tanja E. J. Vos and Joachim Wegener},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2009/2012},
URN = {urn:nbn:de:0030-drops-20120},
doi = {10.4230/DagSemProc.08351.8},
annote = {Keywords: Equivalence classes, evolutionary testing, functional testing, automotive industry}
}
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Keywords: |
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Equivalence classes, evolutionary testing, functional testing, automotive industry |
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Collection: |
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08351 - Evolutionary Test Generation |
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Issue Date: |
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2009 |
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Date of publication: |
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25.05.2009 |
