4 citations · 6 across the 4 of their papers we have counts for
4 papers
Skills for the future software profession: beyond agentic AI!
Abhik Roychoudhury, Sungmin Kang, Baishakhi Ray
As coding agents are rapidly changing software engineering, a natural question is: what are the core skills needed by future software engineers? To identify where software engineer…
Agentic AI Software Engineers: Programming with Trust
Abhik Roychoudhury, Corina Pasareanu, Michael Pradel +1
Large Language Models (LLMs) have shown surprising proficiency in generating code snippets, promising to automate large parts of software engineering via artificial intelligence (A…
Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems
Shmuel Berman, Kathleen McKeown, Baishakhi Ray
Prior research has enhanced the ability of Large Language Models (LLMs) to solve logic puzzles using techniques such as chain-of-thought prompting or introducing a symbolic represe…
Automatic Programming: Large Language Models and Beyond
Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury +2
Automatic programming has seen increasing popularity due to the emergence of tools like GitHub Copilot which rely on Large Language Models (LLMs). At the same time, automatically g…