5 citations · 8 across the 5 of their papers we have counts for
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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…
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…
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…
Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach
Mohammad Sadegh Sheikhaei, Yuan Tian
Software and systems traceability is essential for downstream tasks such as data-driven software analysis and intelligent tool development. However, despite the increasing attentio…
A First Look at Duplicate and Near-duplicate Self-admitted Technical Debt Comments
Jerin Yasmin, Mohammad Sadegh Sheikhaei, Yuan Tian
Self-admitted technical debt (SATD) refers to technical debt that is intentionally introduced by developers and explicitly documented in code comments or other software artifacts (…