ClassifAI: Automating Issue Reports Classification using Pre-Trained BERT (Bidirectional Encoder Representations from Transformers) Models

Author:

Alam Khubaib Amjad1ORCID,Jumani Ashish1ORCID,Aamir Harris1ORCID,Uzair Muhammad1ORCID

Affiliation:

1. National University of Computer and Emerging Sciences, Islamabad, Pakistan

Publisher

ACM

Reference16 articles.

1. Dane Bertram, Amy Voida, Saul Greenberg, and Robert Walker. 2010. Communication, collaboration, and bugs: The social nature of issue tracking in software engineering. In Proc. ACM Conf. Comput. Support. Coop. Work.

2. Classifying issue reports according to feature descriptions in a user manual based on a deep learning model;Cho Heetae;Information and Software Technology,2022

3. Giuseppe Colavito, Filippo Lanubile, and Nicole Novielli. 2023. Few-Shot Learning for Issue Report Classification. In 2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE). IEEE, 16--19.

4. 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).

5. Mohammad Hossin and Md Nasir Sulaiman. 2015. A review on evaluation metrics for data classification evaluations. International journal of data mining & knowledge management process 5, 2 (2015), 1.

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