22 citations · 26 across the 6 of their papers we have counts for
6 papers · 1 filter
ViBR: Automated Bug Replay from Video-based Reports using Vision-Language Models
Sidong Feng, Dingbang Wang, Nikola Tomic +3
Bug reports play a critical role in software maintenance by helping users convey encountered issues to developers. Recently, GUI screen capture videos have gained popularity as a b…
An Empirical Study on Leveraging Images in Automated Bug Report Reproduction
Dingbang Wang, Zhaoxu Zhang, Sidong Feng +2
Automated bug reproduction is a challenging task, with existing tools typically relying on textual steps-to-reproduce, videos, or crash logs in bug reports as input. However, image…
Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps
Dingbang Wang, Yu Zhao, Sidong Feng +6
In software development, bug report reproduction is a challenging task. This paper introduces ReBL, a novel feedback-driven approach that leverages GPT-4, a large-scale language mo…
A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps
Bangyan Ju, Jin Yang, Tingting Yu +4
Numerous approaches employing various strategies have been developed to test the graphical user interfaces (GUIs) of mobile apps. However, traditional GUI testing techniques, such…
Automatically Reproducing Android Bug Reports Using Natural Language Processing and Reinforcement Learning
Zhaoxu Zhang, Robert Winn, Yu Zhao +2
As part of the process of resolving issues submitted by users via bug reports, Android developers attempt to reproduce and observe the failures described by the bug report. Due to…
DinoDroid: Testing Android Apps Using Deep Q-Networks
Yu Zhao, Brent Harrison, Tingting Yu
The large demand of mobile devices creates significant concerns about the quality of mobile applications (apps). Developers need to guarantee the quality of mobile apps before it i…