Artifical immune systems, danger theory, and the oracle problem

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

3 Citations (Scopus)


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.
Original languageUndefined/Unknown
Title of host publicationTesting: Academic and Industrial Conference - Proceedings of Practice and Research Techniques, 2009 (TAIC PART '09)
Number of pages2
Publication statusPublished - 2009


  • artifical immune systems
  • danger theory
  • oracle problem

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