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URN: urn:nbn:de:0030-drops-20120
URL: http://drops.dagstuhl.de/opus/volltexte/2009/2012/

Lindlar, Felix ; Marrero Pérez, Abel

Using evolutionary algorithms to select parameters from equivalence classes

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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
Seminar: 08351 - Evolutionary Test Generation
Issue date: 2009
Date of publication: 25.05.2009


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