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    block this user Giovanni Denaro Trusted member

    Assistant Professor

    University of Milano-Bicocca

    Towards industrially relevant fault-proneness models

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    Estimating software fault-proneness early, i.e., predicting the probability of software modules to be faulty, can help in reducing costs and increasing effectiveness of software analysis and testing. The many available static metrics provide important information, but none of them can be deterministically related to software fault-proneness. Fault-proneness models seem to be an interesting alternative, but the work on these is still biased by lack of experimental validation. This paper discusses barriers and problems in using software fault-proneness in industrial environments, proposes a method for building software fault-proneness models based on logistic regression and cross-validation that meets industrial needs, and provides some experimental evidence of the validity of the proposed approach.

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    Description

    New Full text for this article was not available? Send a request to the author(s).
    Title : Towards industrially relevant fault-proneness models
    Author(s) : Giovanni Denaro, Mauro Pezzè, Sandro Morasca
    Abstract : Estimating software fault-proneness early, i.e., predicting the probability of software modules to be faulty, can help in reducing costs and increasing effectiveness of software analysis and testing. The many available static metrics provide important information, but none of them can be deterministically related to software fault-proneness. Fault-proneness models seem to be an interesting alternative, but the work on these is still biased by lack of experimental validation. This paper discusses barriers and problems in using software fault-proneness in industrial environments, proposes a method for building software fault-proneness models based on logistic regression and cross-validation that meets industrial needs, and provides some experimental evidence of the validity of the proposed approach.
    Keywords : software process;software testing;software metrics

    Subject : unspecified
    Area : Other
    Language : English
    Year : 2003

    Affiliations :  University of Milano-Bicocca
    Journal : International Journal of Software Engineering and Knowledge Engi
    Volume : 13
    Issue : 4
    Pages : 395-417
    Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-0141938561&partnerID=40&md5=6ca63e3f4693e03d3179bad9dd5f053f

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