ICSME 2025
Sun 7 - Fri 12 September 2025 Auckland, New Zealand

As software systems scale, fault detection and localization become increasingly complex due to intricate module interactions. Logging is essential for diagnosis, yet an analysis of 1,158 bug reports from the Bugs.jar dataset shows that fault-related variables have only 13.16% log coverage, leading to incomplete diagnostics, prolonged troubleshooting, and higher maintenance costs. Existing logging enhancement methods focus on source code analysis during development, lacking adaptability to deployed systems, while runtime modifications are often costly and impractical. To address these challenges, this paper presents VarFR, a novel bytecode-level approach for dynamically tracking fault-related variables and enhancing log coverage without modifying the source code. VarFR employs a recommendation model that constructs a bytecode multi-feature fusion graph by integrating bytecode semantics, method control flow, and local variable metadata. By improving fault observability at the bytecode level, the proposed approach has the potential to facilitate debugging, reduce maintenance overhead, and enhance software adaptability, thereby supporting the long-term evolution of software systems. Experimental results on the Bugs.jar dataset demonstrate that VarFR significantly outperforms baseline models in fault-related variable recommendation, underscoring its effectiveness in improving software maintainability and reliability.

Wed 10 Sep

Displayed time zone: Auckland, Wellington change

15:30 - 17:00
Session 6 - Quality Assurance 2Tool Demonstration Track / Research Papers Track / Industry Track / NIER Track at Case Room 2 260-057
Chair(s): Chaiyong Rakhitwetsagul Mahidol University, Thailand
15:30
15m
"Let it be Chaos in the Plumbing!" Usage and Efficacy of Chaos Engineering in DevOps Pipelines
Research Papers Track
Stefano Fossati JADS - TU/e, Damian Andrew Tamburri University of Sannio - JADS/NXP Semiconductors, Massimiliano Di Penta University of Sannio, Italy, Marco Tonnarelli JADS - TU/e
Pre-print
15:45
15m
Research paper
Boosting Log Observability in Production Systems through Bytecode-Driven Fault Variable Tracking
Research Papers Track
Taizheng Wang taizhengwang@hainanu.edu.cn, Yutong Wang Hainan University, Wei Chang Hainan University, Chunyang Ye , Hui Zhou
Media Attached
16:00
10m
DENIM: Exploring Data Access in Microservices
Tool Demonstration Track
Maxime ANDRÉ Namur Digital Institute, University of Namur, Marco Raglianti Software Institute - USI, Lugano, Anthony Cleve University of Namur, Michele Lanza Software Institute - USI, Lugano
Pre-print Media Attached
16:10
10m
MaRCo: Compatible Version Ranges in Maven
Tool Demonstration Track
Cathrine Paulsen Delft University of Technology, Sebastian Proksch Delft University of Technology
Pre-print
16:20
10m
Repairing Responsive Layout Failures Using Retrieval Augmented Generation
NIER Track
Tasmia Zerin Institute of Information Technology (IIT), University of Dhaka, Moumita Asad University of California, Irvine, B M Mainul Hossain University of Dhaka, Kazi Sakib Institute of Information Technology, University of Dhaka
16:30
15m
Improving Merge Pipeline Throughput in Continuous Integration via Pull Request Prioritization
Industry Track
Maximilian Jungwirth BMW Group, University of Passau, Martin Gruber BMW Group, Gordon Fraser University of Passau