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Prediction of Run-Time Failures Using Static Product Quality Metrics

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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.

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Authors and Affiliations

  1. Computer Science Department, Vanderbilt University, Box 1679, Station B, Nashville, TN, 37235, USA

    Aaron B. Binkley

  2. British Telecom Labs, Martlesham Heath, Ipswich, UK

    Stephen R. Schach

Authors
  1. Aaron B. Binkley
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  2. Stephen R. Schach
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Binkley, A.B., Schach, S.R. Prediction of Run-Time Failures Using Static Product Quality Metrics. Software Quality Journal 7, 141–147 (1998). https://doi.org/10.1023/A:1008860726607

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