33 citations · 42 across the 5 of their papers we have counts for
5 papers
Automatic Bi-modal Question Title Generation for Stack Overflow with Prompt Learning
Shaoyu Yang, Xiang Chen, Ke Liu +2
When drafting question posts for Stack Overflow, developers may not accurately summarize the core problems in the question titles, which can cause these questions to not get timely…
BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT
Chi Yu, Guang Yang, Xiang Chen +2
Developers use shell commands for many tasks, such as file system management, network control, and process management. Bash is one of the most commonly used shells and plays an imp…
SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow
Ke Liu, Guang Yang, Xiang Chen +1
On Stack Overflow, developers can not only browse question posts to solve their programming problems but also gain expertise from the question posts to help improve their programmi…
ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation
Guang Yang, Xiang Chen, Jinxin Cao +4
Developers often write low-quality code comments due to the lack of programming experience, which can reduce the efficiency of developers program comprehension. Therefore, develope…
Revisiting Heterogeneous Defect Prediction: How Far Are We?
Xiang Chen, Yanzhou Mu, Chao Ni +1
Until now, researchers have proposed several novel heterogeneous defect prediction HDP methods with promising performance. To the best of our knowledge, whether HDP methods can per…