Cover Image

Green Prompt Engineering: Investigating the Energy Impact of Prompt Design in Software Engineering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	De Martino, Vincenzo, Zadenoori, Mohammad Amin, Franch, Xavier, Ferrari, Alessio
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Does Model Size Matter? A Comparison of Small and Large Language Models for Requirements Classification
by: Zadenoori, Mohammad Amin, et al.
Published: (2025)

A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering
by: de Martino, Vincenzo, et al.
Published: (2024)

From Online User Feedback to Requirements: Evaluating Large Language Models for Classification and Specification Tasks
by: Mallya, Manjeshwar Aniruddh, et al.
Published: (2025)

RITA: A Tool for Automated Requirements Classification and Specification from Online User Feedback
by: Mallya, Manjeshwar Aniruddh, et al.
Published: (2026)

A Methodological Framework for LLM-Based Mining of Software Repositories
by: De Martino, Vincenzo, et al.
Published: (2025)

Large Language Models (LLMs) for Requirements Engineering (RE): A Systematic Literature Review
by: Zadenoori, Mohammad Amin, et al.
Published: (2025)

SEMODS: A Validated Dataset of Open-Source Software Engineering Models
by: González, Alexandra, et al.
Published: (2026)

Prompt Design and Engineering: Introduction and Advanced Methods
by: Amatriain, Xavier
Published: (2024)

Promptware Engineering: Software Engineering for Prompt-Enabled Systems
by: Chen, Zhenpeng, et al.
Published: (2025)

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks
by: Santana Jr, E. G., et al.
Published: (2025)

Replication in Requirements Engineering: the NLP for RE Case
by: Abualhaija, Sallam, et al.
Published: (2023)

A Tool for Automatically Cataloguing and Selecting Pre-Trained Models and Datasets for Software Engineering
by: González, Alexandra, et al.
Published: (2026)

Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?
by: Wang, Guoqing, et al.
Published: (2024)

Cataloguing Hugging Face Models to Software Engineering Activities: Automation and Findings
by: González, Alexandra, et al.
Published: (2025)

Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study
by: De Martino, Vincenzo, et al.
Published: (2024)

Characterizing Datasets for LLM-based Requirements Engineering: A Systematic Mapping Study
by: Motger, Quim, et al.
Published: (2025)

On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability
by: Vogelsang, Andreas, et al.
Published: (2025)

Prompts as Software Engineering Artifacts: A Research Agenda and Preliminary Findings
by: Villamizar, Hugo, et al.
Published: (2025)

REprompt: Prompt Generation for Intelligent Software Development Guided by Requirements Engineering
by: Shi, Junjie, et al.
Published: (2026)

Large Language Models in Thematic Analysis: Prompt Engineering, Evaluation, and Guidelines for Qualitative Software Engineering Research
by: Montes, Cristina Martinez, et al.
Published: (2025)

Multi-Agent Debate Strategies to Enhance Requirements Engineering with Large Language Models
by: Oriol, Marc, et al.
Published: (2025)

Towards a Classification of Open-Source ML Models and Datasets for Software Engineering
by: González, Alexandra, et al.
Published: (2024)

Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling
by: Bulhakov, Vladyslav, et al.
Published: (2025)

Evaluating the Environmental Impact of using SLMs and Prompt Engineering for Code Generation
by: Mamun, Md Afif Al, et al.
Published: (2026)

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap
by: Huang, Kaicheng, et al.
Published: (2025)

Prompt Less, Smile More: MTP with Semantic Engineering in Lieu of Prompt Engineering
by: Dantanarayana, Jayanaka L., et al.
Published: (2025)

Reporting LLM Prompting in Automated Software Engineering: A Guideline Based on Current Practices and Expectations
by: Korn, Alexander, et al.
Published: (2026)

Beyond the Prompt: Assessing Domain Knowledge Strategies for High-Dimensional LLM Optimization in Software Engineering
by: Srinivasan, Srinath, et al.
Published: (2026)

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering
by: Ronanki, Krishna, et al.
Published: (2025)

Prompt-with-Me: in-IDE Structured Prompt Management for LLM-Driven Software Engineering
by: Li, Ziyou, et al.
Published: (2025)

An Empirical Investigation of the Experiences of Dyslexic Software Engineers
by: Cruz, Marcos Vinicius, et al.
Published: (2025)

Investigating the Experience of Autistic Individuals in Software Engineering
by: Sasportes, Madalena, et al.
Published: (2025)

Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents
by: Crawford, Brian, et al.
Published: (2026)

Unveiling Competition Dynamics in Mobile App Markets through User Reviews
by: Motger, Quim, et al.
Published: (2023)

Green Architectural Tactics in ML-enabled Systems: An LLM-based Repository Mining Study
by: De Martino, Vincenzo, et al.
Published: (2026)

Mitigating Prompt-Induced Cognitive Biases in General-Purpose AI for Software Engineering
by: Sovrano, Francesco, et al.
Published: (2026)

When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
by: Xing, Zhenchang, et al.
Published: (2025)

Teaching Research Design in Software Engineering
by: Molleri, Jefferson Seide, et al.
Published: (2024)

Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering
by: Shah, Mehil B, et al.
Published: (2024)

Prompting in Practice: Investigating Software Practitioners' Use of Generative AI Tools
by: Otten, Daniel, et al.
Published: (2025)