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Windisch, Andreas

Ideas on Signal Generation for Evolutionary Testing of Continuous Systems

08351.WindischAndreas.Paper.2011.pdf (0.1 MB)


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.

BibTeX - Entry

  author =	{Andreas Windisch},
  title =	{Ideas on Signal Generation for Evolutionary Testing of Continuous Systems},
  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 =		{},
  annote =	{Keywords: Search-Based Testing, Optimization, Metaheuristic}

Keywords: Search-Based Testing, Optimization, Metaheuristic
Collection: 08351 - Evolutionary Test Generation
Issue Date: 2009
Date of publication: 25.05.2009

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