Software change‐proneness prediction based on deep learning-Reference-Cited by-同舟云学术

Software change‐proneness prediction based on deep learning

Published:2022-02-17 Issue:4 Volume:34 Page:
ISSN:2047-7473
Container-title:Journal of Software: Evolution and Process
language:en
Short-container-title:J Software Evolu Process

Author:

Zhu Xiaoyan¹,Li Nan²^ORCID,Wang Yong³^ORCID

Affiliation:

1. School of Computer Science and Technology Xi'an Jiaotong University Xi'an China

2. Institute of Information Technology China Railway Jinan Group Co Ltd. Jinan China

3. Department of Computer Science and Technology, College of Information Science and Engineering Ocean University of China Qingdao China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/smr.2434

Reference68 articles.

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2. Object-oriented metrics that predict maintainability

3. Towards a metrics suite for object oriented design

4. An empirical validation of object-oriented metrics in two different iterative software processes

5. Identifying and characterizing change-prone classes in two large-scale open-source products

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