9 citations · 16 across the 6 of their papers we have counts for
6 papers · 1 filter
Can Large Language Models Generate Observability-Aware Code?
Yongliang Tao, Hongyu Zhang, Pengfei Gao +8
Recent advances in coding agents have enabled the generation of increasingly complex software systems. While existing evaluations primarily focus on functional correctness, product…
Codexity: Secure AI-assisted Code Generation
Sung Yong Kim, Zhiyu Fan, Yannic Noller +1
Despite the impressive performance of Large Language Models (LLMs) in software development activities, recent studies show the concern of introducing vulnerabilities into software…
AutoCodeRover: Autonomous Program Improvement
Yuntong Zhang, Haifeng Ruan, Zhiyu Fan +1
Researchers have made significant progress in automating the software development process in the past decades. Recent progress in Large Language Models (LLMs) has significantly imp…
Software Engineering Educational Experience in Building an Intelligent Tutoring System
Zhiyu Fan, Yannic Noller, Ashish Dandekar +1
The growing number of students enrolling in Computer Science (CS) programmes is pushing CS educators to their limits. This poses significant challenges to computing education, part…
Automated Repair of Programs from Large Language Models
Zhiyu Fan, Xiang Gao, Martin Mirchev +2
Large language models such as Codex, have shown the capability to produce code for many programming tasks. However, the success rate of existing models is low, especially for compl…
Verifix: Verified Repair of Programming Assignments
Umair Z. Ahmed, Zhiyu Fan, Jooyong Yi +2
Automated feedback generation for introductory programming assignments is useful for programming education. Most works try to generate feedback to correct a student program by comp…