{"id":165197,"date":"2013-05-01T00:00:00","date_gmt":"2013-05-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/its-not-a-bug-its-a-feature-how-misclassification-impacts-bug-prediction\/"},"modified":"2018-10-16T21:44:46","modified_gmt":"2018-10-17T04:44:46","slug":"its-not-a-bug-its-a-feature-how-misclassification-impacts-bug-prediction","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/its-not-a-bug-its-a-feature-how-misclassification-impacts-bug-prediction\/","title":{"rendered":"It&#8217;s not a Bug, It&#8217;s a Feature: How Misclassification Impacts Bug Prediction"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In a manual examination of more than 7,000 issue reports from the bug databases of five open-source projects, we found 33.8% of all issue reports to be misclassified, that is, rather than referring to a code fix, they resulted in a new feature, an update to documentation, or an internal refactoring. This misclassification introduces bias in bug prediction models, confusing bugs and features: On average, 39% of files marked as defective actually never had a bug. We estimate the impact of this misclassification on earlier studies and recommend manual data validation for future studies.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In a manual examination of more than 7,000 issue reports from the bug databases of five open-source projects, we found 33.8% of all issue reports to be misclassified, that is, rather than referring to a code fix, they resulted in a new feature, an update to documentation, or an internal refactoring. 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