Software defect report classification method fusing multivariate text information and report intention
A technology for text information and software defects, applied in text database clustering/classification, software testing/debugging, unstructured text data retrieval, etc. Intent, low performance, etc.
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[0043] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0044] The method frame that the present invention proposes is as figure 2shown. The framework considers both the textual information of the defect report and the intent of the report. First, after the software defect report is submitted, the method will store information such as summary, project, component, reporter, intent, etc. in CSV file format; Preprocess the data in CSV format; on this basis, use BERT to extract the text information of the report summary, and then use the TF-IDF method to extract other features of the report, including the intent of the report, and then generate a feature...
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