Training data selection for cross-project defect prediction-Reference-Cited by-同舟云学术

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Training data selection for cross-project defect prediction

Published:2013-10-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Conference on Predictive Models in Software Engineering
language:
Short-container-title:

Author:

Herbold Steffen¹

Affiliation:

1. University of Göttingen, Göttingen, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2499393.2499395

Reference21 articles.

1. A validation of object-oriented design metrics as quality indicators

2. Think locally, act globally: Improving defect and effort prediction models

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1. A study on cross-project fault prediction through resampling and feature reduction along with source projects selection;Automated Software Engineering;2024-08-16

2. IAPCP: An Effective Cross‐Project Defect Prediction Model via Intra‐Domain Alignment and Programming‐Based Distribution Adaptation;IET Software;2024-01

3. Source Project Selection for Cross-Project Software Defect Prediction using Clustering Approach;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

4. Adversarial domain adaptation for cross-project defect prediction;Empirical Software Engineering;2023-09

5. SMOTE-Based Homogeneous Prediction for Aging-Related Bugs in Cloud-Oriented Software;Journal of Information & Knowledge Management;2023-07-25

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