Opinion mining for software development: a systematic literature review

B Lin, N Cassee, A Serebrenik, G Bavota… - ACM Transactions on …, 2022 - dl.acm.org
Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …

[HTML][HTML] Ticket automation: An insight into current research with applications to multi-level classification scenarios

A Zangari, M Marcuzzo, M Schiavinato… - Expert Systems with …, 2023 - Elsevier
Modern service providers often have to deal with large amounts of customer requests, which
they need to act upon in a swift and effective manner to ensure adequate support is …

Predicting issue types on GitHub

R Kallis, A Di Sorbo, G Canfora, S Panichella - Science of Computer …, 2021 - Elsevier
Software maintenance and evolution involves critical activities for the success of software
projects. To support such activities and keep code up-to-date and error-free, software …

Automated identification and qualitative characterization of safety concerns reported in uav software platforms

A Di Sorbo, F Zampetti, A Visaggio, M Di Penta… - ACM Transactions on …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) are nowadays used in a variety of applications. Given the
cyber-physical nature of UAVs, software defects in these systems can cause issues with …

Recommending good first issues in github oss projects

W **ao, H He, W Xu, X Tan, J Dong… - Proceedings of the 44th …, 2022 - dl.acm.org
Attracting and retaining newcomers is vital for the sustainability of an open-source software
project. However, it is difficult for newcomers to locate suitable development tasks, while …

Predicting the objective and priority of issue reports in software repositories

M Izadi, K Akbari, A Heydarnoori - Empirical Software Engineering, 2022 - Springer
Software repositories such as GitHub host a large number of software entities. Developers
collaboratively discuss, implement, use, and share these entities. Proper documentation …

What do users ask in open-source AI repositories? An empirical study of GitHub issues

Z Yang, C Wang, J Shi, T Hoang… - 2023 IEEE/ACM 20th …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) systems, which benefit from the availability of large-scale datasets
and increasing computational power, have become effective solutions to various critical …

Bee: A tool for structuring and analyzing bug reports

Y Song, O Chaparro - Proceedings of the 28th ACM joint meeting on …, 2020 - dl.acm.org
This paper introduces BEE, a tool that automatically analyzes user-written bug reports and
provides feedback to reporters and developers about the system's observed behavior (OB) …

The NLBSE'24 Tool Competition

R Kallis, G Colavito, A Al-Kaswan… - Proceedings of the …, 2024 - dl.acm.org
We report on the organization and results of the tool competition of the third International
Workshop on Natural Language-based Software Engineering (NLBSE'24). As in prior …

How well do pre-trained contextual language representations recommend labels for github issues?

J Wang, X Zhang, L Chen - Knowledge-Based Systems, 2021 - Elsevier
Motivation: Open-source organizations use issues to collect user feedback, software bugs,
and feature requests in GitHub. Many issues do not have labels, which makes labeling time …