Static code metrics vs. process metrics for software fault prediction using Bayesian network learners
Software fault prediction (SFP) has an important role in the process of improving software product quality by identifying fault-prone modules. Constructing quality models includes a usage of metrics that describe real world entities defined by numbers or attributes. Examining the nature of machine l...
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| Format: | Others |
| Language: | English |
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Mälardalens högskola, Akademin för innovation, design och teknik
2015
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-29694 |