Feature sets in just-in-time defect prediction: an empirical evaluation-Reference-Cited by-同舟云学术

Feature sets in just-in-time defect prediction: an empirical evaluation

Published:2022-11-07 Issue: Volume: Page:
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Container-title:Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering
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Author:

Bludau Peter¹,Pretschner Alexander²

Affiliation:

1. fortiss, Germany

2. TU Munich, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3558489.3559068

Reference49 articles.

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2. A systematic and comprehensive investigation of methods to build and evaluate fault prediction models

3. Learning from bug-introducing changes to prevent fault prone code

4. When process data quality affects the number of bugs: Correlations in software engineering datasets

5. Assessing the accuracy of prediction algorithms for classification: an overview

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