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- Title
Software Defect Prediction Method Based on Rule Knowledge Extraction Model.
- Authors
CHAI Haiyan; YAN Ran; HAN Xinyu; TANG Longli
- Abstract
The software defects are managed through the knowledge base, and defect management is upgraded from the data level to the knowledge level. The rule knowledge is mined from bug data based on a rule-based knowledge extraction model, and the appropriate strategy is configured in the strategy layer to predict software defects. The model is extracted by direct association rules and extended association rules, which improve the prediction rate of related defects and the efficiency of software testing.
- Subjects
KNOWLEDGE base; COMPUTER software testing; COMPUTER software quality control; DEFECT tracking (Computer software development); DEFECT correction methods (Numerical analysis)
- Publication
Journal of Donghua University (English Edition), 2018, Vol 35, Issue 5, p422
- ISSN
1672-5220
- Publication type
Article