Artifical immune systems, danger theory, and the oracle problem

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

Abstract

The oracle problem - the mechanism by which the output associated with a test is determined to pass or fail - is an important, but frequently neglected, challenge for software testing researchers. Artificial immune systems offer a potentially interesting avenue of attack but using their power as classifiers to distinguish between pass outputs and fail outputs. Danger theory looks for other signals to improve this classification. The aim of this paper is to consider how AIS and danger theory may be applied to the oracle problem.
LanguageUndefined/Unknown
Title of host publicationTesting: Academic and Industrial Conference - Proceedings of Practice and Research Techniques, 2009 (TAIC PART '09)
PublisherIEEE
Pages125-126
Number of pages2
DOIs
Publication statusPublished - 2009

Keywords

  • artifical immune systems
  • danger theory
  • oracle problem

Cite this

Roper, M. (2009). Artifical immune systems, danger theory, and the oracle problem. In Testing: Academic and Industrial Conference - Proceedings of Practice and Research Techniques, 2009 (TAIC PART '09) (pp. 125-126). IEEE. https://doi.org/10.1109/TAICPART.2009.36
Roper, M. / Artifical immune systems, danger theory, and the oracle problem. Testing: Academic and Industrial Conference - Proceedings of Practice and Research Techniques, 2009 (TAIC PART '09) . IEEE, 2009. pp. 125-126
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Roper, M 2009, Artifical immune systems, danger theory, and the oracle problem. in Testing: Academic and Industrial Conference - Proceedings of Practice and Research Techniques, 2009 (TAIC PART '09) . IEEE, pp. 125-126. https://doi.org/10.1109/TAICPART.2009.36

Artifical immune systems, danger theory, and the oracle problem. / Roper, M.

Testing: Academic and Industrial Conference - Proceedings of Practice and Research Techniques, 2009 (TAIC PART '09) . IEEE, 2009. p. 125-126.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AB - The oracle problem - the mechanism by which the output associated with a test is determined to pass or fail - is an important, but frequently neglected, challenge for software testing researchers. Artificial immune systems offer a potentially interesting avenue of attack but using their power as classifiers to distinguish between pass outputs and fail outputs. Danger theory looks for other signals to improve this classification. The aim of this paper is to consider how AIS and danger theory may be applied to the oracle problem.

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PB - IEEE

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Roper M. Artifical immune systems, danger theory, and the oracle problem. In Testing: Academic and Industrial Conference - Proceedings of Practice and Research Techniques, 2009 (TAIC PART '09) . IEEE. 2009. p. 125-126 https://doi.org/10.1109/TAICPART.2009.36