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

Background: The Android permission system is a set of controls to regulate access to sensitive data and platform resources (e.g., cameras). The fast-evolving nature of Android permissions and inadequate documentation result in numerous challenges for third-party developers. Aims: This study investigates the permission-related challenges developers face and the solutions provided to resolve them on the crowdsourcing platform Stack Overflow. Method: We conducted qualitative and quantitative analyses on 3,327 permission-related questions and 3,271 corresponding answers. Results: We found that most questions are related to non-evolving SDK permissions that remain constant across various Android versions, emphasizing the lack of documentation. We also classify developers’ challenges into several categories: Documentation-Related, Problems with Dependencies, Debugging, Conceptual Understanding, and Implementation Issues. Conclusions: Our study indicates the need for clear, consistent documentation to guide the use of permissions and reduce developer misunderstandings, which can lead to potential misuse of Android permissions.

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