An Ran Chen - RankMe

23 papers A* 3A 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SBEST: Spectrum-based fault localization without fault-triggering tests. Empir. Softw. Eng. Md Nakhla Rafi, Lorena Barreto Simedo Pacheco, An Ran Chen, Jinqiu Yang, Tse-Hsun Peter Chen
2025	J	`jnl`	Can Large Language Models Solve Path Constraints in Symbolic Execution? CoRR Wenhan Wang, Kaibo Liu, Zeyu Sun, An Ran Chen, Ge Li, Gang Huang, Lei Ma
2025	J	`jnl`	Enhancing LLM-based Fault Localization with a Functionality-Aware Retrieval-Augmented Generation Framework. CoRR Xinyu Shi, Zhenhao Li, An Ran Chen
2025	J	`jnl`	Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing. CoRR Wenhan Wang, Xuan Xie, Yuheng Huang, Renzhi Wang, An Ran Chen, Lei Ma
2025	A	`conf`	Revisiting Defects4J for Fault Localization in Diverse Development Scenarios. MSR Md Nakhla Rafi, An Ran Chen, Tse-Hsun Peter Chen, Shaohua Wang
2025	J	`jnl`	Studying the Impact of Early Test Termination Due to Assertion Failure on Code Coverage and Spectrum-based Fault Localization. CoRR Md Ashraf Uddin, Shaowei Wang, An Ran Chen, Tse-Hsun Chen
2025	—	`conf`	TESTEVAL: Benchmarking Large Language Models for Test Case Generation. NAACL (Findings) Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma
2024	—	`conf`	Exploring Data Cleanness in Defects4J and Its Influence on Fault Localization Efficiency. ICSE Companion Md Nakhla Rafi, An Ran Chen, Tse-Hsun (Peter) Chen, Shaohua Wang
2024	A*	`conf`	LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. ICSE Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang
2024	J	`jnl`	LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. CoRR Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang
2024	J	`jnl`	Leveraging Stack Traces for Spectrum-based Fault Localization in the Absence of Failing Tests. CoRR Lorena Barreto Simedo Pacheco, An Ran Chen, Jinqiu Yang, Tse-Hsun Chen
2024	J	`jnl`	Python Symbolic Execution with LLM-powered Code Generation. CoRR Wenhan Wang, Kaibo Liu, An Ran Chen, Ge Li, Zhi Jin, Gang Huang, Lei Ma
2024	J	`jnl`	TESTEVAL: Benchmarking Large Language Models for Test Case Generation. CoRR Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma
2024	J	`jnl`	Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code Representation. Proc. ACM Softw. Eng. Md Nakhla Rafi, Dong Jae Kim, An Ran Chen, Tse-Hsun (Peter) Chen, Shaowei Wang
2024	J	`jnl`	Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation. CoRR Md Nakhla Rafi, Dong Jae Kim, An Ran Chen, Tse-Hsun Chen, Shaowei Wang
2023	A*	`conf`	Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. ASE Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang
2023	J	`jnl`	Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. CoRR Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang
2023	J	`jnl`	Back to the Future! Studying Data Cleanness in Defects4J and its Impact on Fault Localization. CoRR An Ran Chen, Md Nakhla Rafi, Tse-Hsun Chen, Shaohua Wang
2023	J	`jnl`	T-Evos: A Large-Scale Longitudinal Study on CI Test Execution and Failure. IEEE Trans. Software Eng. An Ran Chen, Tse-Hsun Peter Chen, Shaowei Wang
2022	A*	`conf`	How Useful is Code Change Information for Fault Localization in Continuous Integration? ASE An Ran Chen, Tse-Hsun (Peter) Chen, Junjie Chen
2022	J	`jnl`	Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs. IEEE Trans. Software Eng. An Ran Chen, Tse-Hsun Chen, Shaowei Wang
2021	J	`jnl`	Demystifying the challenges and benefits of analyzing user-reported logs in bug reports. Empir. Softw. Eng. An Ran Chen, Tse-Hsun (Peter) Chen, Shaowei Wang
2019	—	`conf`	An empirical study on leveraging logs for debugging production failures. ICSE (Companion Volume) An Ran Chen