Outlier Mining Techniques for Software Defect Prediction-Reference-Cited by-同舟云学术

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Outlier Mining Techniques for Software Defect Prediction

Published:2023 Issue: Volume: Page:41-60
ISSN:1865-1348
Container-title:Software Quality: Higher Software Quality through Zero Waste Development
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Author:

Cech Tim^ORCID,Atzberger Daniel,Scheibel Willy^ORCID,Misra Sanjay^ORCID,Döllner Jürgen

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-31488-9_3

Reference42 articles.

1. Springer Optimization and Its Applications;SP Adam,2019

2. Albahli, S.: A deep ensemble learning method for effort-aware just-in-time defect prediction. Future Internet 11(12), 246 (2019). https://doi.org/10.3390/fi11120246

3. Amasaki, S.: Cross-version defect prediction using cross-project defect prediction approaches: does it work? In: Proc. 14th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2018), pp. 32–41. ACM (2018). https://doi.org/10.1145/3273934.3273938

4. Bennin, K.E., Keung, J., Monden, A., Kamei, Y., Ubayashi, N.: Investigating the effects of balanced training and testing datasets on effort-aware fault prediction models. In: Proc. 40th Annual Computer Software and Applications Conference (COMPSAC 2016), pp. 154–163. IEEE (2016). https://doi.org/10.1109/COMPSAC.2016.144

5. Bennin, K.E., Keung, J., Phannachitta, P., Monden, A., Mensah, S.: Mahakil: diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction. IEEE Trans. Softw. Eng. 44(6), 534–550 (2018). https://doi.org/10.1109/TSE.2017.2731766

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Software Defect Prediction using Outlier Detection Algorithm;2024 2nd International Conference on Software Engineering and Information Technology (ICoSEIT);2024-02-28

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