Prediction of Run-Time Failures Using Static Product Quality Metrics

Authors:
Aaron B. Binkley;Stephen R. Schach
Affiliations:
Computer Science Department, Vanderbilt University, Box 1679, Station B, Nashville, TN 37235, USA;British Telecom Labs, Martlesham Heath, Ipswich, UK
Venue:
Software Quality Control
Year:
1998

Citing 4
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Abstract

A study is presented in which it is determined whether software product metrics gathered statically from designs or source code may be helpful in predicting the number of run-time faults that will be encountered during execution. Metrics examined include intermodule metrics such as fan-in and fan-out, as well as intramodule metrics such as cyclomatic complexity and size. Our study indicates that it may be possible, with certain classes of software products, to predict the run-time behaviour using well-known static intermodule metrics.