Using evolutionary algorithms to select parameters from equivalence classes

Lindlar, Felix; Marrero Pérez, Abel

doi:10.4230/DagSemProc.08351.8

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Using evolutionary algorithms to select parameters from equivalence classes

Authors Felix Lindlar, Abel Marrero Pérez

Part of: Volume: Dagstuhl Seminar Proceedings, Volume 8351
Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2009-05-25

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DagSemProc.08351.8.pdf

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Document Identifiers

DOI: 10.4230/DagSemProc.08351.8
URN: urn:nbn:de:0030-drops-20120

Subject Classification

Keywords

Equivalence classes
evolutionary testing
functional testing
automotive industry

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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.

Cite As Get BibTex

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

Author Details

Felix Lindlar

Abel Marrero Pérez

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