2 citations · 2 across the 4 of their papers we have counts for
5 papers
Context-Enhanced Vulnerability Detection Based on Large Language Model
Yixin Yang, Bowen Xu, Xiang Gao +1
Vulnerability detection is a critical aspect of software security. Accurate detection is essential to prevent potential security breaches and protect software systems from maliciou…
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…
NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion
Zihao Xu, Yuzhi Tang, Bowen Xu +1
Most publicly accessible remote sensing data suffer from low resolution, limiting their practical applications. To address this, we propose a diffusion model guided by neural opera…
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…
Automated DevOps Pipeline Generation for Code Repositories using Large Language Models
Deep Mehta, Kartik Rawool, Subodh Gujar +1
Automating software development processes through the orchestration of GitHub Action workflows has revolutionized the efficiency and agility of software delivery pipelines. This pa…