25 citations · 53 across the 7 of their papers we have counts for
6 papers · 1 filter
Automatically Learning a Precise Measurement for Fault Diagnosis Capability of Test Cases
Yifan Zhao, Zeyu Sun, Guoqing Wang +5
Prevalent Fault Localization (FL) techniques rely on tests to localize buggy program elements. Tests could be treated as fuel to further boost FL by providing more debugging inform…
AgentFL: Scaling LLM-based Fault Localization to Project-Level Context
Yihao Qin, Shangwen Wang, Yiling Lou +4
Fault Localization (FL) is an essential step during the debugging process. With the strong capabilities of code comprehension, the recent Large Language Models (LLMs) have demonstr…
Recommending Analogical APIs via Knowledge Graph Embedding
Mingwei Liu, Yanjun Yang, Yiling Lou +4
Library migration, which re-implements the same software behavior by using a different library instead of using the current one, has been widely observed in software evolution. One…
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
Zhenpeng Chen, Huihan Yao, Yiling Lou +4
Deep Learning (DL) is finding its way into a growing number of mobile software applications. These software applications, named as DL based mobile applications (abbreviated as mobi…
Interactive Patch Filtering as Debugging Aid
Jingjing Liang, Ruyi Ji, Jiajun Jiang +3
It is widely recognized that program repair tools need to have a high precision to be useful, i.e., the generated patches need to have a high probability to be correct. However, it…
Can Automated Program Repair Refine Fault Localization?
Yiling Lou, Ali Ghanbari, Xia Li +3
Software bugs are prevalent in modern software systems and notoriously hard to debug manually. Therefore, a large body of research efforts have been dedicated to automated software…