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Using Bayesian networks to predict software defects and reliability
2008
Proceedings of the Institution of Mechanical Engineers. Part O, Journal of risk and reliability
This paper reviews the use of Bayesian networks (BNs) in predicting software defects and software reliability. The approach allows analysts to incorporate causal process factors as well as combine qualitative and quantitative measures, hence overcoming some of the wellknown limitations of traditional software metrics methods. The approach has been used and reported on by organizations such as Motorola, Siemens, and Philips. However, one of the impediments to more widespread use of BNs for this
doi:10.1243/1748006xjrr161
fatcat:4yrbct64lfhlpitnxrebtdkaa4