most citedCoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature

7 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE20251 cited

GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs

Ruofan Liu, Xiwen Teoh, Yun Lin +4

In this work, we propose GUIPilot, an approach for detecting inconsistencies between the mobile design and their implementations. The mobile design usually consists of design mock-…

cs.CR2025

CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift

Jiongchi Yu, Xiaofei Xie, Qiang Hu +6

With the rapid advancement of cloud-native computing, securing cloud environments has become an important task. Log-based Anomaly Detection (LAD) is the most representative techniq…

cs.SE2025

SBFT Tool Competition 2025 -- Java Test Case Generation Track

Fitsum Kifetew, Lin Yun, Davide Prandi

This short report presents the 2025 edition of the Java Unit Testing Competition in which four test generation tools (EVOFUZZ, EVOSUITE, BBC, and RANDOOP) were benchmarked on a fre…

cs.SE2024

An LLM-based Readability Measurement for Unit Tests' Context-aware Inputs

Zhichao Zhou, Yutian Tang, Yun Lin +1

Automated test techniques usually generate unit tests with higher code coverage than manual tests. However, the readability of automated tests is crucial for code comprehension and…

cs.SE20247 cited

CoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature

Chenyan Liu, Yufan Cai, Yun Lin +6

Recent years have seen the development of LLM-based code generation. Compared to generating code in a software project, incremental code edits are empirically observed to be more f…