[HTML][HTML] Enhancing understanding and addressing gender bias in IT/SE job advertisements

T Kanij, J Grundy, J McIntosh - Journal of Systems and Software, 2024 - Elsevier
Abstract The majority of Information Technology (IT)/Software Engineering (SE)
professionals are male. A potential reason for the low number of female IT/SE professionals …

A survey on modern code review: Progresses, challenges and opportunities

Z Yang, C Gao, Z Guo, Z Li, K Liu, X **a… - arxiv preprint arxiv …, 2024 - arxiv.org
Over the past decade, modern code review (MCR) has been deemed as a crucial practice of
software quality assurance, which is applied to improve software quality and transfer …

The Landscape of Toxicity: An Empirical Investigation of Toxicity on GitHub

J Sarker, AK Turzo, A Bosu - arxiv preprint arxiv:2502.08238, 2025 - arxiv.org
Toxicity on GitHub can severely impact Open Source Software (OSS) development
communities. To mitigate such behavior, a better understanding of its nature and how …

From First Patch to Long-Term Contributor: Evaluating Onboarding Recommendations for OSS Newcomers

AK Turzo, S Sultana, A Bosu - arxiv preprint arxiv:2407.04159, 2024 - arxiv.org
Attracting and retaining a steady stream of new contributors is crucial to ensuring the long-
term survival of open-source software (OSS) projects. However, there are two key research …

Enhancing human-machine pair inspection with risk number and code inspection diagram

Y Dai, S Liu, G Xu - Software Quality Journal, 2024 - Springer
Software inspection is a widely-used approach to software quality assurance. Human-
Machine Pair Inspection (HMPI) is a novel software inspection technology proposed in our …

A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation

MM Mohajer, AB Belle, J Wang, H Hemmati… - arxiv preprint arxiv …, 2023 - arxiv.org
The fairness of machine learning (ML) approaches is critical to the reliability of modern
artificial intelligence systems. Despite extensive study on this topic, the fairness of ML …

GitHubInclusifier: Finding and fixing non-inclusive language in GitHub Repositories

L Todd, J Grundy, C Treude - Proceedings of the 2024 IEEE/ACM 46th …, 2024 - dl.acm.org
Non-inclusive language in software artefacts has been recognised as a serious problem. We
describe a tool to find and fix non-inclusive language in a variety of GitHub repository …

Broadening Participation in Open Source Software Communities With Newcomers' Onboarding and Retention

AK Turzo - 2024 - search.proquest.com
Abstract Open Source Software (OSS) projects depend on the contribution of new and
existing developers. However, a significant number of newcomers fail to become long-term …

Cracking the Code: Unraveling Gender Disparities in Open-Source Contributions

NAF Abbas - 2023 - uwspace.uwaterloo.ca
Within the world of open source software (OSS) development, previous research has shown
that the success rate of pull requests (PRs) may exhibit gender-related imbalances. In this …