NLBSE'22 tool competition-Reference-Cited by-同舟云学术

NLBSE'22 tool competition

Published:2022-05-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Workshop on Natural Language-based Software Engineering
language:
Short-container-title:

Author:

Kallis Rafael¹,Chaparro Oscar²,Di Sorbo Andrea³,Panichella Sebastiano⁴

Affiliation:

1. Rafael Kallis Consulting, Switzerland

2. College of William & Mary

3. University of Sannio, Italy

4. Zurich University of Applied Sciences, Switzerland

Funder

Horizon 2020 Framework Programme

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3528588.3528664

Reference25 articles.

1. Shikhar Bharadwaj and Tushar Kadam . Github issue classification using bert-style models . In Proceedings of The 1st International Workshop on Natural Language-based Software Engineering (NLBSE'22) , page (to appear), 2022 . Shikhar Bharadwaj and Tushar Kadam. Github issue classification using bert-style models. In Proceedings of The 1st International Workshop on Natural Language-based Software Engineering (NLBSE'22), page (to appear), 2022.

2. Giuseppe Colavito , Filippo Lanubile , and Nicole Novielli . Issue report classification using pre-trained language models . In Proceedings of The 1st International Workshop on Natural Language-based Software Engineering (NLBSE'22) , page (to appear), 2022 . Giuseppe Colavito, Filippo Lanubile, and Nicole Novielli. Issue report classification using pre-trained language models. In Proceedings of The 1st International Workshop on Natural Language-based Software Engineering (NLBSE'22), page (to appear), 2022.

3. Maliheh Izadi . Catiss : An intelligent tool for categorizing issues reports using transformers . In Proceedings of The 1st International Workshop on Natural Language-based Software Engineering (NLBSE'22) , page (to appear), 2022 . Maliheh Izadi. Catiss: An intelligent tool for categorizing issues reports using transformers. In Proceedings of The 1st International Workshop on Natural Language-based Software Engineering (NLBSE'22), page (to appear), 2022.

4. Mohammed Latif Siddiq and Joanna C.S. Santos . Bert-based github issue report classification . In Proceedings of The 1st International Workshop on Natural Language-based Software Engineering (NLBSE'22) , page (to appear), 2022 . Mohammed Latif Siddiq and Joanna C.S. Santos. Bert-based github issue report classification. In Proceedings of The 1st International Workshop on Natural Language-based Software Engineering (NLBSE'22), page (to appear), 2022.

5. Alexander Trautsch and Steffen Herbold . Predicting issue types with sebert . In Proceedings of The 1st International Workshop on Natural Language-based Software Engineering (NLBSE'22) , page (to appear), 2022 . Alexander Trautsch and Steffen Herbold. Predicting issue types with sebert. In Proceedings of The 1st International Workshop on Natural Language-based Software Engineering (NLBSE'22), page (to appear), 2022.

Cited by 17 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. Text-To-Text Generation for Issue Report Classification;Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering;2024-04-20

2. The NLBSE'24 Tool Competition;Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering;2024-04-20

3. Leveraging GPT-like LLMs to Automate Issue Labeling;Proceedings of the 21st International Conference on Mining Software Repositories;2024-04-15

4. GIRT-Model: Automated Generation of Issue Report Templates;Proceedings of the 21st International Conference on Mining Software Repositories;2024-04-15

5. Impact of data quality for automatic issue classification using pre-trained language models;Journal of Systems and Software;2024-04