DocumentCode
2209578
Title
Utility of popular software defect models
Author
Hartman, Patrick
Author_Institution
Naval Sea Syst. Command, Washington, DC, USA
fYear
2002
fDate
2002
Firstpage
306
Lastpage
311
Abstract
Numerical models can be used to track and predict the number of defects in developmental and operational software. This paper introduces techniques to critically assess the effectiveness of software defect reduction efforts as the data is being gathered. This can be achieved by observing the fundamental shape of the cumulative defect discovery curves and by judging how quickly the various defect models converge to common predictions of long term software performance
Keywords
program debugging; software reliability; cumulative defect discovery curves; decision making; long term software performance; numerical models; sequential testing; software defect reduction efforts; software errors; software reliability engineering; Debugging; Numerical models; Power system management; Power system modeling; Predictive models; Reliability engineering; Shape; Software performance; Software reliability; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium, 2002. Proceedings. Annual
Conference_Location
Seattle, WA
ISSN
0149-144X
Print_ISBN
0-7803-7348-0
Type
conf
DOI
10.1109/RAMS.2002.981659
Filename
981659
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