Automated Test Case Selection Based on a Similarity Function

Zusammenfassung
A strategy for automatic test case selection based on the use of a similarity function is presented. Test case selection is a crucial activity to model-based testing since the number of automatically generated test cases is usually enormous and possibly unfeasible. Also, a considerable number of test cases are redundant, that is, they exercise similar features of the application and/or are capable of uncovering a similar set of faults. The strategy is aimed at selecting the less similar test cases while providing the best possible coverage of the functional model from which test cases are generated.
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  • BibTeX
Cartaxo, E. G., Neto, F. G. & Machado, P. D., (2007). Automated Test Case Selection Based on a Similarity Function. In: Herzog, O., Rödiger, K.-H., Ronthaler, M. & Koschke, R. (Hrsg.), Informatik 2007 – Informatik trifft Logistik – Band 2. Bonn: Gesellschaft für Informatik e. V.. (S. 381-386).
@inproceedings{mci/Cartaxo2007,
author = {Cartaxo, Emanuela G. AND Neto, Francisco G. O. AND Machado, Patrícia D. L.},
title = {Automated Test Case Selection Based on a Similarity Function},
booktitle = {Informatik 2007 – Informatik trifft Logistik – Band 2},
year = {2007},
editor = {Herzog, Otthein AND Rödiger, Karl-Heinz AND Ronthaler, Marc AND Koschke, Rainer} ,
pages = { 381-386 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
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Mehr Information

ISBN: 978-3-88579-206-1
ISSN: 1617-5468
Datum: 2007
Sprache: en (en)
Typ: Text/Conference Paper
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