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URN: urn:nbn:de:0030-drops-13875
URL: http://drops.dagstuhl.de/opus/volltexte/2008/1387/

Baskiotis, Nicolas ; Sebag, Michele

Structural Sampling for Statistical Software Testing

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Abstract

Structural Statistical Software Testing exploits the control flow graph of the program being tested to construct test cases. While test cases can easily be extracted from {em feasible paths} in the control flow graph, that is, paths which are actually exerted for some values of the program input, the feasible path region is a tiny fraction of the graph paths (less than $10^{-5}]$ for medium size programs). The S4T algorithm presented in this paper aims to address this limitation; as an Active Relational Learning Algorithm, it uses the few feasible paths initially available to sample new feasible paths. The difficulty comes from the non-Markovian nature of the feasible path concept, due to the long-range dependencies between the nodes in the control flow graph. Experimental validation on real-world and artificial problems demonstrates significant improvements compared to the state of the art.

BibTeX - Entry

@InProceedings{baskiotis_et_al:DSP:2008:1387,
  author =	{Nicolas Baskiotis and Michele Sebag},
  title =	{Structural Sampling for Statistical Software Testing},
  booktitle =	{Probabilistic, Logical and Relational Learning - A Further Synthesis},
  year =	{2008},
  editor =	{Luc de Raedt and Thomas Dietterich and Lise Getoor and Kristian Kersting and Stephen H. Muggleton},
  number =	{07161},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Internationales Begegnungs- und Forschungszentrum f{\"u}r Informatik (IBFI), Schloss Dagstuhl, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2008/1387},
  annote =	{Keywords: Active Relational Learning, Software Testing, Autonomic Computing, Parikh Maps}
}

Keywords: Active Relational Learning, Software Testing, Autonomic Computing, Parikh Maps
Seminar: 07161 - Probabilistic, Logical and Relational Learning - A Further Synthesis
Issue date: 2008
Date of publication: 06.03.2008


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