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Software defect prediction based on correlation weighted class association rule mining

  • Published:2020-05 Issue: Volume:196 Page:105742
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Shao Yuanxun,Liu Bin,Wang Shihai,Li Guoqi

Funder

Science & Technology on Reliability & Environmental Engineering Laboratory of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference62 articles.

1. Data mining static code attributes to learn defect predictors;Menzies;IEEE Trans. Softw. Eng.,2006

2. Using object-oriented design metrics to predict software defects;Jureczko,2010

3. An empirical study on software defect prediction with a simplified metric set;He;Inf. Softw. Technol.,2015

4. A fuzzy logic based approach for phase-wise software defects prediction using software metrics;Yadav;Inf. Softw. Technol.,2015

5. Using class imbalance learning for software defect prediction;Wang;IEEE Trans. Reliab.,2013

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