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URN: urn:nbn:de:0030-drops-20118

Ideas on Signal Generation for Evolutionary Testing of Continuous Systems



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
Seminar: 08351 - Evolutionary Test Generation
Related Scholarly Article:
Issue date: 2009
Date of publication: 2009

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