42 citations · 194 across the 14 of their papers we have counts for
14 papers
PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents
Tianyue Jiang, Yanlin Wang, Xin He +7
While Large Language Models have greatly advanced automated issue resolution, existing agent-based methods exhibit a fundamental limitation in their insufficient exploration of rep…
A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair
Jialun Cao, Meiziniu Li, Ming Wen +1
ChatGPT has revolutionized many research and industrial fields. ChatGPT has shown great potential in software engineering to boost various traditional tasks such as program repair,…
COMET: Coverage-guided Model Generation For Deep Learning Library Testing
Meiziniu Li, Jialun Cao, Yongqiang Tian +3
Recent deep learning (DL) applications are mostly built on top of DL libraries. The quality assurance of these libraries is critical to the dependable deployment of DL applications…
Attention: Not Just Another Dataset for Patch-Correctness Checking
Jun Yang, Yuehan Wang, Yiling Lou +2
Automated Program Repair (APR) techniques have drawn wide attention from both academia and industry. Meanwhile, one main limitation with the current state-of-the-art APR tools is t…
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs
Jialun Cao, Meiziniu Li, Xiao Chen +4
As Deep Learning (DL) systems are widely deployed for mission-critical applications, debugging such systems becomes essential. Most existing works identify and repair suspicious ne…
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications
Yongqiang Tian, Wuqi Zhang, Ming Wen +4
Model compression can significantly reduce the sizes of deep neural network (DNN) models, and thus facilitates the dissemination of sophisticated, sizable DNN models, especially fo…
Characterizing and Detecting Configuration Compatibility Issues in Android Apps
Huaxun Huang, Ming Wen, Lili Wei +2
XML configuration files are widely used in Android to define an app's user interface and essential runtime information such as system permissions. As Android evolves, it might intr…
Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts
Lu Liu, Lili Wei, Wuqi Zhang +3
Smart contracts are programs running on blockchain to execute transactions. When input constraints or security properties are violated at runtime, the transaction being executed by…
SemMT: A Semantic-based Testing Approach for Machine Translation Systems
Jialun Cao, Meiziniu Li, Yeting Li +2
Machine translation has wide applications in daily life. In mission-critical applications such as translating official documents, incorrect translation can have unpleasant or somet…
Will Dependency Conflicts Affect My Program's Semantics?
Ying Wang, Rongxin Wu, Chao Wang +6
Java projects are often built on top of various third-party libraries. If multiple versions of a library exist on the classpath, JVM will only load one version and shadow the other…
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations
Yongqiang Tian, Shiqing Ma, Ming Wen +3
Deep learning models are widely used for image analysis. While they offer high performance in terms of accuracy, people are concerned about if these models inappropriately make inf…
How Different Is It Between Machine-Generated and Developer-Provided Patches? An Empirical Study on The Correct Patches Generated by Automated Program Repair Techniques
Shangwen Wang, Ming Wen, Liqian Chen +2
Background: Over the years, Automated Program Repair (APR) has attracted much attention from both academia and industry since it can reduce the costs in fixing bugs. However, how t…
Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques
Shangwen Wang, Ming Wen, Xiaoguang Mao +1
Automated program repair (APR) has attracted widespread attention in recent years with substantial techniques being proposed. Meanwhile, a number of benchmarks have been establishe…
An Empirical Analysis of the Influence of Fault Space on Search-Based Automated Program Repair
Ming Wen, Junjie Chen, Rongxin Wu +2
Automated program repair (APR) has attracted great research attention, and various techniques have been proposed. Search-based APR is one of the most important categories among the…