22 citations · 40 across the 4 of their papers we have counts for
4 papers
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…
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…
What Aspects of Mobile Ads Do Users Care About? An Empirical Study of Mobile In-app Ad Reviews
Jiaping Gui, Meiyappan Nagappan, William G. J. Halfond
In the mobile app ecosystem, developers receive ad revenue by placing ads in their apps and releasing them for free. While there is evidence that users do not like ads, we do not k…