Artifical immune systems, danger theory, and the oracle problem

M. Roper

doi:10.1109/TAICPART.2009.36

Artifical immune systems, danger theory, and the oracle problem

M. Roper

Computer And Information Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference 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.

Original language	Undefined/Unknown
Title of host publication	Testing: Academic and Industrial Conference - Proceedings of Practice and Research Techniques, 2009 (TAIC PART '09)
Publisher	IEEE
Pages	125-126
Number of pages	2
DOIs	https://doi.org/10.1109/TAICPART.2009.36
Publication status	Published - 2009

Keywords

artifical immune systems
danger theory
oracle problem

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10.1109/TAICPART.2009.36

Cite this

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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.",

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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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KW - danger theory

KW - oracle problem

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DO - 10.1109/TAICPART.2009.36

M3 - Conference contribution book

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EP - 126

BT - Testing: Academic and Industrial Conference - Proceedings of Practice and Research Techniques, 2009 (TAIC PART '09)

PB - IEEE

ER -

Artifical immune systems, danger theory, and the oracle problem

Abstract

Keywords

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