Prompt strategies for SLM-based automated test generation vary widely in energy consumption and carbon emissions, with simpler strategies delivering competitive coverage at markedly lower environmental cost.
The Few-shot Dilemma: Over-prompting Large Language Models
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PICCO is a five-element reference architecture (Persona, Instructions, Context, Constraints, Output) for structuring LLM prompts, derived from synthesizing prior frameworks along with a taxonomy distinguishing prompt concepts.
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Sustainability Analysis of Prompt Strategies for SLM-based Automated Test Generation
Prompt strategies for SLM-based automated test generation vary widely in energy consumption and carbon emissions, with simpler strategies delivering competitive coverage at markedly lower environmental cost.
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The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure
PICCO is a five-element reference architecture (Persona, Instructions, Context, Constraints, Output) for structuring LLM prompts, derived from synthesizing prior frameworks along with a taxonomy distinguishing prompt concepts.