4 citations · 7 across the 4 of their papers we have counts for
5 papers
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…
DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning
Guang Yang, Xiang Chen, Yanlin Zhou +1
A shellcode is a small piece of code and it is executed to exploit a software vulnerability, which allows the target computer to execute arbitrary commands from the attacker throug…
DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa
Guang Yang, Yanlin Zhou, Chi Yu +1
In software engineering-related tasks (such as programming language tag prediction based on code snippets from Stack Overflow), the programming language classification for code sni…
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…
Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer
Guang Yang, Yanlin Zhou, Xiang Chen +1
Pseudo-code written by natural language is helpful for novice developers' program comprehension. However, writing such pseudo-code is time-consuming and laborious. Motivated by the…