DocumentCode :
2303621
Title :
Assessing the Impact of Using Fault Prediction in Industry
Author :
Bell, Robert M. ; Weyuker, Elaine J. ; Ostrand, Thomas J.
Author_Institution :
AT&T Labs. - Res., Florham Park, NJ, USA
fYear :
2011
fDate :
21-25 March 2011
Firstpage :
561
Lastpage :
565
Abstract :
Software developers and testers need realistic ways to measure the practical effects of using fault prediction models to guide software quality improvement methods such as testing, code reviews, and refactoring. Will the availability of fault predictions lead to discovery of different faults, or to more efficient means of finding the same faults? Or do fault predictions have no practical impact at all? In this challenge paper we describe the difficulties of answering these questions, and the issues involved in devising meaningful ways to assess the impact of using prediction models. We present several experimental design options and discuss the pros and cons of each.
Keywords :
program testing; software reliability; system recovery; code reviews; fault-prediction; prediction models; software developers; software quality improvement methods; Computer bugs; Fault detection; Measurement; Predictive models; Software; Software testing; assessing causal effects; experimental design; industrial systems; software fault prediction; software testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Testing, Verification and Validation Workshops (ICSTW), 2011 IEEE Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4577-0019-4
Electronic_ISBN :
978-0-7695-4345-1
Type :
conf
DOI :
10.1109/ICSTW.2011.75
Filename :
5954465
Link To Document :
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