DROPS

Document

Ideas on Signal Generation for Evolutionary Testing of Continuous Systems

Authors: Andreas Windisch

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

Abstract

Test case generation constitutes a critical activity in software testing that is cost-intensive, time-consuming and error-prone when done manually. Hence, an automation of this process is required. One automation approach is search-based testing for which the task of generating test data is transformed into an optimization problem which is solved using metaheuristic search techniques. However, only little work has so far been done to apply search-based testing techniques to systems that depend on continuous input signals rather than single discrete input values. This paper proposes three novel approaches to generating input signals from within search-based testing techniques for continuous systems.

Cite as

Andreas Windisch. Ideas on Signal Generation for Evolutionary Testing of Continuous Systems. In Evolutionary Test Generation. Dagstuhl Seminar Proceedings, Volume 8351, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

Copy BibTex To Clipboard

@InProceedings{windisch:DagSemProc.08351.5,
  author =	{Windisch, Andreas},
  title =	{{Ideas on Signal Generation for Evolutionary Testing of Continuous Systems}},
  booktitle =	{Evolutionary Test Generation},
  pages =	{1--4},
  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.08351.5},
  URN =		{urn:nbn:de:0030-drops-20118},
  doi =		{10.4230/DagSemProc.08351.5},
  annote =	{Keywords: Search-Based Testing, Optimization, Metaheuristic}
}

Search Results

Documents authored by Windisch, Andreas

Ideas on Signal Generation for Evolutionary Testing of Continuous Systems

Abstract

Cite as

Thanks for your feedback!

Could not send message