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cs.SE2025
Addressing Popularity Bias in Third-Party Library Recommendations Using LLMs
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio +1
Recommender systems for software engineering (RSSE) play a crucial role in automating development tasks by providing relevant suggestions according to the developer's context. Howe…
cs.SE2025★ 7 cited
Prompt engineering and its implications on the energy consumption of Large Language Models
Riccardo Rubei, Aicha Moussaid, Claudio di Sipio +1
Reducing the environmental impact of AI-based software systems has become critical. The intensive use of large language models (LLMs) in software engineering poses severe challenge…