11 citations · 14 across the 14 of their papers we have counts for
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cs.SE2024★ 11 cited
Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning
Yuze Jiang, Beijun Shen, Xiaodong Gu
For predicting software defects at an early stage, researchers have proposed just-in-time defect prediction (JIT-DP) to identify potential defects in code commits. The prevailing a…
cs.SE2024★ 1 cited
Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?
Qingxiao Tao, Tingrui Yu, Xiaodong Gu +1
While large language models (LLMs) exhibit state-of-the-art performance in various tasks, recent studies have revealed their struggle for code translation. This is because they hav…
cs.SE2024
Zero-Shot Code Representation Learning via Prompt Tuning
Nan Cui, Xiaodong Gu, Beijun Shen
Learning code representations has been the core prerequisite of many software engineering tasks such as code clone detection and code generation. State-of-the-art program represent…