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Using evolutionary algorithms to select parameters from equivalence classes

Authors: Felix Lindlar and Abel Marrero Pérez

Published in: Dagstuhl Seminar Proceedings, Volume 8351, Evolutionary Test Generation (2009)

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.

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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)

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@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/entities/document/10.4230/DagSemProc.08351.8},
  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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Using evolutionary algorithms to select parameters from equivalence classes

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