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cs.SE2024
Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models
Eric L. Melin, Adam J. Torek, Nasir U. Eisty +1
Context: Large Language Models (LLMs) like GPT-5 and LLaMA-405b exhibit advanced code generation abilities, but their deployment demands substantial computation resources and energ…
cs.SE2024★ 2 cited
Exploring the Advances in Using Machine Learning to Identify Technical Debt and Self-Admitted Technical Debt
Eric L. Melin, Nasir U. Eisty
In software engineering, technical debt, signifying the compromise between short-term expediency and long-term maintainability, is being addressed by researchers through various ma…