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Assessing the Impact of Using Fault-Prediction in Industry
AT and T Labs, USA.
AT and T Labs, USA.ORCID iD: 0000-0002-1660-199X
AT and T Labs, USA.
2011 (English)In: Proceedings - 4th IEEE International Conference on Software Testing, Verification, and Validation Workshops, ICSTW 2011, 2011, 561-565 p.Conference paper, Published paper (Refereed)
Abstract [en]

Do fault prediction models that guide testing and other efforts to improve software reliability lead to finding different or additional faults in the next release, to an improved process for finding the same faults that would occur were the models not used, or do they have no impact at all? In this challenge paper, we describe the difficulties involved in estimating effects of this sort of intervention and discuss ways to empirically answer that question and ways of assessing any changes, if present. We present several experimental design options and discuss the pros and cons of each.

Place, publisher, year, edition, pages
2011. 561-565 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-23681DOI: 10.1109/ICSTW.2011.75Scopus ID: 2-s2.0-80051604934ISBN: 9780769543451 (print)OAI: oai:DiVA.org:mdh-23681DiVA: diva2:680262
Conference
4th IEEE International Conference on Software Testing, Verification, and Validation Workshops, ICSTW 2011; Berlin; Germany; 21 March 2011 through 25 March 2011
Available from: 2013-12-17 Created: 2013-12-17 Last updated: 2014-02-07Bibliographically approved

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Citation style
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