DocumentCode
977049
Title
Perturbation techniques for detecting domain errors
Author
Zeil, Steven J.
Author_Institution
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA, USA
Volume
15
Issue
6
fYear
1989
fDate
6/1/1989 12:00:00 AM
Firstpage
737
Lastpage
746
Abstract
Perturbation testing is an approach to software testing which focuses on faults within arithmetic expressions appearing throughout a program. This approach is expanded to permit analysis of individual test points rather than entire paths, and to concentrate on domain errors. Faults are modeled as perturbing functions drawn from a vector space of potential faults and added to the correct form of an arithmetic expression. Sensitivity measures are derived which limit the possible size of those faults that would go undetected after the execution of a given test set. These measures open up an interesting view of testing, in which attempts are made to reduce the volume of possible faults which, were they present in the program being tested, would have escaped detection on all tests performed so far. The combination of these measures with standard optimization techniques yields a novel test-data-generation method called arithmetic fault detection
Keywords
error detection; perturbation techniques; program testing; arithmetic expressions; arithmetic fault detection; domain errors; error detection; individual test points; novel test-data-generation method; perturbing functions; potential faults; sensitivity measures; software testing; standard optimization techniques; test set; vector space; Computer science; Error correction; Fault detection; Floating-point arithmetic; Measurement standards; Optimization methods; Perturbation methods; Size measurement; Software testing; Volume measurement;
fLanguage
English
Journal_Title
Software Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0098-5589
Type
jour
DOI
10.1109/32.24727
Filename
24727
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