An extended study on applicability and performance of homogeneous cross-project defect prediction approaches under homogeneous cross-company effort estimation situation-Reference-Cited by-同舟云学术

An extended study on applicability and performance of homogeneous cross-project defect prediction approaches under homogeneous cross-company effort estimation situation

Published:2022-01-27 Issue:2 Volume:27 Page:
ISSN:1382-3256
Container-title:Empirical Software Engineering
language:en
Short-container-title:Empir Software Eng

Author:

Amasaki Sousuke^ORCID,Aman Hirohisa,Yokogawa Tomoyuki

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

https://link.springer.com/content/pdf/10.1007/s10664-021-10103-4.pdf

Reference91 articles.

1. Amasaki S, Kawata K, Yokogawa T (2015) Improving Cross-Project defect prediction methods with data simplification. In: Proceedings of SEAA ’15. IEEE, pp 96–103

2. Amasaki S, Aman H, Yokogawa T (2020) An exploratory study on applicability of cross project defect prediction approaches to cross-company effort estimation. In: Proceedings of PROMISE, Association for Computing Machinery, pp 71–80

3. Bennin KE, Toda K, Kamei Y, Keung J, Monden A, Ubayashi N (2016) Empirical evaluation of cross-release effort-aware defect prediction models. In: Proceedings of International Conference on Software Quality, Reliability and Security, pp 214–221

4. Bin Y, Zhou K, Lu H, Zhou Y, Xu B (2017) Training data selection for cross-project defection prediction: Which approach is better?. In: Proceedings of International Symposium on Empirical Software Engineering and Measurement, ACM, pp 354–363

5. Boehm B (1981) Software engineering economics. Prentice-Hall

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