Can we predict useful comments in source codes? - Analysis of findings from Information Retrieval in Software Engineering Track @ FIRE 2022-Reference-Cited by-同舟云学术

Can we predict useful comments in source codes? - Analysis of findings from Information Retrieval in Software Engineering Track @ FIRE 2022

Published:2022-12-09 Issue: Volume: Page:
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Container-title:Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation
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Author:

Majumdar Srijoni¹^ORCID,Bandyopadhyay Ayan²^ORCID,Das Partha Pratim¹^ORCID,Clough Paul³^ORCID,Chattopadhyay Samiran⁴^ORCID,Majumder Prasenjit⁵^ORCID

Affiliation:

1. Indian Institute of Technology Kharagpur, India

2. TCG CREST Centres for Research and Education in Science and Technology, India

3. Sheffield University, India and TPXimpact, United Kingdom

4. Jadavpur University, India and TCG CREST Centres for Research and Education in Science and Technology, India

5. DA-IICT, India and TCG CREST Centres for Research and Education in Science and Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3574318.3574329

Reference7 articles.

1. Amiangshu Bosu , Michaela Greiler , and Christian Bird . 2015. Characteristics of useful code reviews: An empirical study at microsoft(Working Conference on Mining Software Repositories) . IEEE , 146–156. Amiangshu Bosu, Michaela Greiler, and Christian Bird. 2015. Characteristics of useful code reviews: An empirical study at microsoft(Working Conference on Mining Software Repositories). IEEE, 146–156.

2. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018).

3. Mingwei Liu , Yanjun Yang , Xin Peng , Chong Wang , Chengyuan Zhao , Xin Wang , and Shuangshuang Xing . 2020. Learning based and Context Aware Non-Informative Comment Detection(International Conference on Software Maintenance and Evolution (ICSME)) . IEEE , 866–867. Mingwei Liu, Yanjun Yang, Xin Peng, Chong Wang, Chengyuan Zhao, Xin Wang, and Shuangshuang Xing. 2020. Learning based and Context Aware Non-Informative Comment Detection(International Conference on Software Maintenance and Evolution (ICSME)). IEEE, 866–867.

4. Srijoni Majumdar Ayan Bandyopadhyay Samiran Chattopadhyay Partha Pratim Das Paul D Clough and Prasenjit Majumder. 2022. Overview of the IRSE track at FIRE 2022: Information Retrieval in Software Engineering. In FIRE (Working Notes). Srijoni Majumdar Ayan Bandyopadhyay Samiran Chattopadhyay Partha Pratim Das Paul D Clough and Prasenjit Majumder. 2022. Overview of the IRSE track at FIRE 2022: Information Retrieval in Software Engineering. In FIRE (Working Notes).

5. Automated evaluation of comments to aid software maintenance

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