9 papers · 1 filter
Evaluating the Environmental Impact of using SLMs and Prompt Engineering for Code Generation
Md Afif Al Mamun, Sayan Nath, Gias Uddin +1
The shift from cloud-hosted Large Language Models (LLMs) to locally deployed open-source Small Language Models (SLMs) has democratized AI-assisted coding; however, it has also dece…
Sustainability Analysis of Prompt Strategies for SLM-based Automated Test Generation
Pragati Kumari, Novarun Deb
The growing adoption of prompt-based automation in software testing raises important issues regarding its computational and environmental sustainability. Existing sustainability st…
An Empirical Study of Sustainability in Prompt-driven Test Script Generation Using Small Language Models
Pragati Kumari, Novarun Deb
The increasing use of language models in automated test script generation raises concerns about their environmental impact, yet existing sustainability analyses focus predominantly…
Sustainable AI Assistance Through Digital Sobriety
Madeline Jennings, Novarun Deb, Ronnie de Souza Santos
As AI assistants become commonplace in daily life, the demand for solutions that reduce the cost of inference without sacrificing utility is increasing. Existing work on AI sustain…
Towards Energy-aware Requirements Dependency Classification: Knowledge-Graph vs. Vector-Retrieval Augmented Inference with SLMs
Shreyas Patil, Pragati Kumari, Novarun Deb +1
The continuous evolution of system specifications necessitates frequent evaluation of conflicting requirements, a process that is traditionally labour intensive. Although large lan…
DeCEAT: Decoding Carbon Emissions for AI-driven Software Testing
Pragati Kumari, Novarun Deb
The increasing use of language models in automated software testing raises concerns about their environmental impact, yet existing sustainability analyses focus almost exclusively…