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Predicting Fault Prone Modules by the Dempster-Shafer Belief Networks
This paper describes a novel methodology for predicting fault prone modules. The methodology is based on Dempster-Shafer (D-S) belief networks. Our approach consists of three steps: First, building the Dempster-Shafer network by the induction algorithm; Second, selecting the predictors (attributes)...
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| Publicado no: | Proc IEEE Int Autom Softw Eng Conf |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2003
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4480607/ https://ncbi.nlm.nih.gov/pubmed/26120284 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ASE.2003.1240314 |
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