ESEIW 2024
Sun 20 - Fri 25 October 2024 Barcelona, Spain

Software practitioners often discuss technical and social workplace issues, both in-person and online. One such social issue is fairness. As research on fairness in software engineering expands, it often concentrates on specific issues. This exploratory study provides discussions on Stack Exchange sites, focusing on the experiences and expectations of fairness in software engineering. We also want to identify the fairness aspects software practitioners talk about the most. For example, do they care more about fairness in income or how they are treated in the workplace?

Our investigation of fairness discussions on eight Stack Exchange sites resulted in a list of 136 posts (28 questions and 108 answers) manually curated from 4,178 candidate posts. The study reveals that the majority of fairness discussions revolve around the topic of income suggesting that many software practitioners are highly interested in matters related to their pay and how it is fairly distributed. Further, we noted that while not discussed as often, discussions on fairness in recruitment tend to receive the highest number of views and scores. Interestingly, the study shows that unfairness experiences extend beyond the protected attributes, with gender mainly being discussed.

Thu 24 Oct

Displayed time zone: Brussels, Copenhagen, Madrid, Paris change

14:00 - 15:30
14:00
20m
Full-paper
Decoding Android Permissions: A Study of Developer Challenges and Solutions on Stack Overflow
ESEM Technical Papers
Sahrima Jannat Oishwee University of Saskatchewan, Zadia Codabux University of Saskatchewan, Natalia Stakhanova University of Saskatchewan
14:20
20m
Full-paper
Negative Results of Image Processing for Identifying Duplicate Questions on Stack Overflow
ESEM Technical Papers
Faiz Ahmed York University, Suprakash Datta York University, Maleknaz Nayebi York University
14:40
20m
Full-paper
Understanding Fairness in Software Engineering: Insights from Stack Exchange Sites
ESEM Technical Papers
Emeralda Sesari University of Groningen, Federica Sarro University College London, Ayushi Rastogi University of Groningen, The Netherlands
DOI Pre-print
15:00
15m
Industry talk
Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study
ESEM IGC
Lingzhe Zhang Peking University, China, Tong Jia Institute for Artificial Intelligence, Peking University, Beijing, China, Kangjin Wang Alibaba Group, Mengxi Jia Peking University, Yong Yang , Ying Li School of Software and Microelectronics, Peking University, Beijing, China
15:15
15m
Journal Early-Feedback
The upper bound of information diffusion in code review
ESEM Journal-First Papers
Michael Dorner Blekinge Institute of Technology, Daniel Mendez Blekinge Institute of Technology and fortiss, Krzysztof Wnuk , Ehsan Zabardast Blekinge Institute of Technology, Jacek Czerwonka Developer Services, Microsoft
Link to publication DOI Pre-print