5 citations · 9 across the 6 of their papers we have counts for
6 papers
Understanding the Effectiveness of LLMs in Automated Self-Admitted Technical Debt Repayment
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang +1
Self-Admitted Technical Debt (SATD), cases where developers intentionally acknowledge suboptimal solutions in code through comments, poses a significant challenge to software maint…
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models
Yixi Wu, Pengfei He, Zehao Wang +3
Large language models (LLMs) like GitHub Copilot and ChatGPT have emerged as powerful tools for code generation, significantly enhancing productivity and accelerating software deve…
An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and Classification
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang +1
Self-Admitted Technical Debt (SATD), a concept highlighting sub-optimal choices in software development documented in code comments or other project resources, poses challenges in…
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using LLMs
Azmain Kabir, Shaowei Wang, Yuan Tian +3
Technical Q&A sites are valuable for software developers seeking knowledge, but the code snippets they provide are often uncompilable and incomplete due to unresolved types and mis…
Studying and Recommending Information Highlighting in Stack Overflow Answers
Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian +3
Context: Navigating the knowledge of Stack Overflow (SO) remains challenging. To make the posts vivid to users, SO allows users to write and edit posts with Markdown or HTML so tha…
A Study of Update Request Comments in Stack Overflow Answer Posts
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang
Comments play an important role in updating Stack Overflow (SO) posts. They are used to point out a problem (e.g., obsolete answer and buggy code) in a SO answer or ask for more de…