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Automated classification of requirements dependencies using Small Language Models (SLMs) augmented by Knowledge Graphs or Vector Retrieval to reduce energy consumption in software engineering workflows.
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This is an academic research project with very low traction (0 stars). While it addresses a specific niche (Requirements Engineering) and explores the trade-off between energy efficiency and accuracy using SLMs, the methods (RAG and KG-augmentation) are standard. Its defensibility is low as it's primarily an empirical study rather than a hardened tool or unique platform.
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