Using Temporal and Semantic Developer-Level Information to Predict Maintenance Activity Profiles-Reference-Cited by-同舟云学术

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Using Temporal and Semantic Developer-Level Information to Predict Maintenance Activity Profiles

Published:2016-10 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE International Conference on Software Maintenance and Evolution (ICSME)
language:
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Author:

Levin Stanislav,Yehudai Amiram

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7807393/7816432/07816495.pdf?arnumber=7816495

Cited by 14 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. An empirical study of token-based micro commits;Empirical Software Engineering;2024-09-04

2. Commit-Level Software Change Intent Classification Using a Pre-Trained Transformer-Based Code Model;Mathematics;2024-03-28

3. Commit Classification via Diff-Code GCN based on System Dependency Graph;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS);2023-10-22

4. A survey of software architectural change detection and categorization techniques;Journal of Systems and Software;2022-12

5. A Survey of Software Architectural Change Detection and Categorization Techniques;SSRN Electronic Journal;2022

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