3 papers
cs.SE2026
Prompt Optimization for LLM Code Generation via Reinforcement Learning
Ali Mohammadi Esfahani, Nafiseh Kahani, Samuel A. Ajila
Large Language Models (LLMs) can generate code from natural language, but their performance is highly sensitive to prompt formulation. We propose a reinforcement-learning-based fra…
cs.SE2026
Knowledge Lever Risk Management for Software Engineering: A Stochastic Framework for Mitigating Knowledge Loss
Mark Chua, Samuel Ajila
Software engineering (SE) organizations operate in a knowledge-intensive domain where critical assets -- architectural expertise, design rationale, and system intuition -- are over…
cs.SE2024
Understanding Defects in Generated Codes by Language Models
Ali Mohammadi Esfahani, Nafiseh Kahani, Samuel A. Ajila
This study investigates the reliability of code generation by Large Language Models (LLMs), focusing on identifying and analyzing defects in the generated code. Despite the advance…