activity
20192025
most citedClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation

25 citations · 53 across the 7 of their papers we have counts for

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Showing cs.SEShow all

6 papers · 1 filter

cs.SE2025

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…

cs.SE2024

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…

cs.SE2023

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…

cs.SE20215 cited

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…

cs.SE20202 cited

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…

cs.SE20192 cited

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…