Enhancing Traceability Link Recovery with Unlabeled Data-Reference-Cited by-同舟云学术

Enhancing Traceability Link Recovery with Unlabeled Data

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE)
language:
Short-container-title:

Author:

Zhu Jianfei¹,Xiao Guanping²,Zheng Zheng³,Sui Yulei⁴

Affiliation:

1. Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,China

2. Nanjing University,State Key Laboratory of Novel Software Technology,China

3. Beihang University,School of Automation Science and Electrical Engineering,China

4. University of Technology,School of Computer Science,Sydney,Australia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Australian Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9978763/9978935/09978994.pdf?arnumber=9978994

Reference55 articles.

1. On the role of semantics in automated requirements tracing

2. Applying a smoothing filter to improve IR-based traceability recovery processes: An empirical investigation

3. On inte-grating orthogonal information retrieval methods to improve traceability recovery;gethers;Proceedings of the IEEE International Conference on Software Maintenance (ICSM),2011

4. An Improved Approach to Traceability Recovery Based on Word Embeddings

5. Term-weighting approaches in automatic text retrieval

Cited by 6 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. SGT: Aging-related bug prediction via semantic feature learning based on graph-transformer;Journal of Systems and Software;2024-11

2. Deep semi-supervised learning for recovering traceability links between issues and commits;Journal of Systems and Software;2024-10

3. An LLM-based Approach to Recover Traceability Links between Security Requirements and Goal Models;Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering;2024-06-18

4. The future of API analytics;Automated Software Engineering;2024-06-09

5. Compatibility Issues in Deep Learning Systems: Problems and Opportunities;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30