Understanding Thresholds of Software Features for Defect Prediction

Author:

Santos Geanderson1,Veloso Adriano1,Figueiredo Eduardo1

Affiliation:

1. Universidade Federal de Minas Gerais, Brazil

Publisher

ACM

Reference47 articles.

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2. D. Baehrens T. Schroeter S. Harmeling M. Kawanabe K. Hansen and K. Müller. 2010. How to Explain Individual Classification Decisions. In Journal of Machine Learning Research (JMLR). D. Baehrens T. Schroeter S. Harmeling M. Kawanabe K. Hansen and K. Müller. 2010. How to Explain Individual Classification Decisions. In Journal of Machine Learning Research (JMLR).

3. M. D’Ambros , M. Lanza , and R. Robbes . 2010. An extensive comparison of bug prediction approaches . In 7th IEEE Working Conference on Mining Software Repositories (MSR). M. D’Ambros, M. Lanza, and R. Robbes. 2010. An extensive comparison of bug prediction approaches. In 7th IEEE Working Conference on Mining Software Repositories (MSR).

4. R. Ferenc , Z. Tóth , G. Ladányi , I. Siket , and T. Gyimóthy . 2018. A Public Unified Bug Dataset for Java . In Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE). R. Ferenc, Z. Tóth, G. Ladányi, I. Siket, and T. Gyimóthy. 2018. A Public Unified Bug Dataset for Java. In Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE).

5. R. Ferenc Z. Tóth G. Ladányi I. Siket and T. Gyimóthy. 2020. A public unified bug dataset for java and its assessment regarding metrics and bug prediction. In Software Quality Journal (SQJ). R. Ferenc Z. Tóth G. Ladányi I. Siket and T. Gyimóthy. 2020. A public unified bug dataset for java and its assessment regarding metrics and bug prediction. In Software Quality Journal (SQJ).

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