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SOFTWARE COMPONENT DEFECT PREDICTION USING CLASSIFICATION MODELS THAT GENERATE HIERARCHICAL COMPONENT CLASSIFICATIONS
SOFTWARE COMPONENT DEFECT PREDICTION USING CLASSIFICATION MODELS THAT GENERATE HIERARCHICAL COMPONENT CLASSIFICATIONS
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机译:使用产生分层组件分类的分类模型的软件组件缺陷预测
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摘要
Systems and methods for facilitating updates to software programs via machine-learning techniques are disclosed. In an example, an application generates a feature vector from a textual description of a software defect by applying a topic model to the textual description. The application uses the feature vector and one or more machine-learning models configured to predict classifications and sub-classifications of the textual description. The application integrates the classifications and the sub-classifications into a final classification of the textual description that indicates a software component responsible for causing the software defect. The final classification is usable for correcting the software defect.
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