Personalized Defect Prediction
Academia and industry expend much effort to predict software defects. Researchers proposed many defect prediction algorithms and metrics. While previous defect prediction techniques often take the author of the code into consideration, none of these techniques build a separate prediction model for e...
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Language: | en |
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2013
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Online Access: | http://hdl.handle.net/10012/7786 |