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On the performance of method-level bug prediction: A negative result

  • Published:2020-03 Issue: Volume:161 Page:110493
  • ISSN:0164-1212
  • Container-title:Journal of Systems and Software
  • language:en
  • Short-container-title:Journal of Systems and Software

Author:

Pascarella LucaORCID,Palomba FabioORCID,Bacchelli Alberto

Funder

Swiss National Science Foundation

European Union’s H2020

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference128 articles.

1. Empirical analysis of fault- proneness in methods by focusing on their comment lines;Aman,2014

2. Is it a bug or an enhancement?: a text-based approach to classify change requests;Antoniol,2008

3. Are popular classes more defect prone?;Bacchelli,2010

4. Modern Information Retrieval;Baeza-Yates,1999

5. A validation of object-oriented design metrics as quality indicators;Basili;Softw. Eng. IEEE Trans.,1996

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1. An empirical study on bug severity estimation using source code metrics and static analysis;Journal of Systems and Software;2024-11

2. The need for more informative defect prediction: A systematic literature review;Information and Software Technology;2024-07

3. Deep learning or classical machine learning? An empirical study on line‐level software defect prediction;Journal of Software: Evolution and Process;2024-06-02

4. VALIDATE: A deep dive into vulnerability prediction datasets;Information and Software Technology;2024-06

5. Method-level Bug Prediction: Problems and Promises;ACM Transactions on Software Engineering and Methodology;2024-04-18
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