3 citations · 5 across the 7 of their papers we have counts for
9 papers
TeleGen: Improving LLM-Based Web Application Generation via Runtime Telemetry
Yujia Luo, Haonan Zhang, Jiasi Shen +2
Large language models can generate runnable web applications from natural-language requirements, but many generated applications still fail interactive tasks. Existing generate-exe…
Do Privacy Policies Match with the Logs? An Empirical Study of Privacy Disclosure in Android Application Logs
Zhiyuan Chen, Love Jayesh Ahir, Ahmad Suleiman +4
Privacy policies are intended to inform users about how software systems collect and handle data, yet they often remain vague or incomplete. This paper presents an empirical study…
Is Your Private Information Logged? An Empirical Study on Android App Logs
Zhiyuan Chen, Soham Sanjay Deo, Poorna Chander Reddy Puttaparthi +4
With the rapid growth of mobile apps, users' concerns about their privacy have become increasingly prominent. Android app logs serve as crucial computer resources, aiding developer…
A Story About Cohesion and Separation: Label-Free Metric for Log Parser Evaluation
Qiaolin Qin, Jianchen Zhao, Heng Li +2
Log parsing converts log messages into structured event templates, allowing for automated log analysis and reducing manual inspection effort. To select the most compatible parser f…
ADPerf: Investigating and Testing Performance in Autonomous Driving Systems
Tri Minh-Triet Pham, Diego Elias Costa, Weiyi Shang +1
Obstacle detection is crucial to the operation of autonomous driving systems, which rely on multiple sensors, such as cameras and LiDARs, combined with code logic and deep learning…
An Empirical Study on the Capability of LLMs in Decomposing Bug Reports
Zhiyuan Chen, Vanessa Nava-Camal, Ahmad Suleiman +3
Background: Bug reports are essential to the software development life cycle. They help developers track and resolve issues, but are often difficult to process due to their complex…
Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models
Lizhi Liao, Simon Eismann, Heng Li +4
During software development, developers often make numerous modifications to the software to address existing issues or implement new features. However, certain changes may inadver…
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction
Zhipeng Gao, Zhipeng Xue, Xing Hu +2
The test failure causes analysis is critical since it determines the subsequent way of handling different types of bugs, which is the prerequisite to get the bugs properly analyzed…
Comprehensive Evaluation of ChatGPT Reliability Through Multilingual Inquiries
Poorna Chander Reddy Puttaparthi, Soham Sanjay Deo, Hakan Gul +3
ChatGPT is currently the most popular large language model (LLM), with over 100 million users, making a significant impact on people's lives. However, due to the presence of jailbr…