335 citations · 428 across the 63 of their papers we have counts for
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Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories
Shuyan Huang, Kai Du, Andrew Lan
Large language model (LLM)-powered agents have rapidly evolved from code-completion tools into solvers of complex software engineering tasks. As developers collaborate with coding…
Empowering Student Debugging in Parallel Programming with Execution Traces and Large Language Models
God'salvation F. Oguibe, Vinodh Kumaran Jayakumar, Tongping Liu +2
Concurrent programming is a core component of Computer Science curricula, yet remains notoriously difficult for students to master due to its inherent complexity and the nondetermi…
Learning Code-Edit Embedding to Model Student Debugging Behavior
Hasnain Heickal, Andrew Lan
Providing effective feedback for programming assignments in computer science education can be challenging: students solve problems by iteratively submitting code, executing it, and…