22 citations · 25 across the 4 of their papers we have counts for
5 papers · 1 filter
Beyond the Prompt: Linking What Developers Ask, Do, and Understand with Coding Agents
Yunhan Qiao, Summit Haque, Christopher Hundhausen
Coding agents can now change code for developers, who describe goals, supply context, and respond to the agent's work. Yet prompts, screen activity, and task success each tell only…
Faster but Not Wiser: GitHub Copilot Decouples Programming Performance from Code Comprehension in Brownfield Tasks
Yunhan Qiao, Md Istiak Hossain Shihab, Summit Haque +1
Teaching Computer Science (CS) students to comprehend and maintain existing codebases is a critical challenge in software engineering education. Although Generative AI (GenAI) assi…
A Systematic Literature Review of the Use of GenAI Assistants for Code Comprehension: Implications for Computing Education Research and Practice
Yunhan Qiao, Md Istiak Hossain Shihab, Christopher Hundhausen
The ability to comprehend code has long been recognized as an essential skill in software engineering. As programmers lean more heavily on generative artificial intelligence (GenAI…
The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Programming Tasks
Md Istiak Hossain Shihab, Christopher Hundhausen, Ahsun Tariq +3
When graduates of computing degree programs enter the software industry, they will most likely join teams working on legacy code bases developed by people other than themselves. In…
Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software
Matthew Davis, Aakash Kulkarni, Ziyan Chen +3
Scientific advancements rely on high-performance computing (HPC) applications that model real-world phenomena through simulations. These applications process vast amounts of data o…