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URN: urn:nbn:de:0030-drops-20120
URL: https://drops.dagstuhl.de/opus/volltexte/2009/2012/
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Lindlar, Felix ; Marrero PĂ©rez, Abel

Using evolutionary algorithms to select parameters from equivalence classes

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08351.LindlarFelix.Paper.2012.pdf (0.07 MB)


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:DSP:2009:2012,
  author =	{Felix Lindlar and Abel Marrero P{\'e}rez},
  title =	{Using evolutionary algorithms to select parameters from equivalence classes},
  booktitle =	{Evolutionary Test Generation},
  year =	{2009},
  editor =	{Holger Schlingloff and Tanja E. J. Vos and Joachim Wegener},
  number =	{08351},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2009/2012},
  annote =	{Keywords: Equivalence classes, evolutionary testing, functional testing, automotive industry}
}

Keywords: Equivalence classes, evolutionary testing, functional testing, automotive industry
Collection: 08351 - Evolutionary Test Generation
Issue Date: 2009
Date of publication: 25.05.2009


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