Tracking the Evolution of Large Language Models in Requirements Elicitation and Analysis

2026
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Authors: Ailén Panigo; Kristian Petkoff Bankoff; Ariel Pasini; Patricia Pesado
Published in: Computer Science – CACIC 2024
Publisher: Springer Nature Switzerland

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Abstract

This chapter delves into the transformative role of large language models (LLMs) in the software development lifecycle, with a particular focus on the requirements elicitation and analysis phases. It explores how LLMs can automate and optimize the generation of interviews and user stories, crucial artifacts in these stages. The study compares the performance of various LLMs, including ChatGPT, Gemini, and Mistral, highlighting their strengths and limitations. The evolution of these models, particularly the integration of reasoning capabilities, is a key focus, demonstrating significant improvements in the quality and relevance of generated outputs. The chapter also discusses the importance of critical evaluation by software engineering professionals to ensure the relevance and quality of the results. By examining the advancements and challenges in AI-assisted software development, this chapter provides valuable insights into the future of this rapidly evolving field.

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Title: Tracking the Evolution of Large Language Models in Requirements Elicitation and Analysis
Authors: Ailén Panigo
Kristian Petkoff Bankoff
Ariel Pasini
Patricia Pesado
Publisher: Springer Nature Switzerland
Book: Computer Science – CACIC 2024
Print ISBN: 978-3-032-00717-9

Electronic ISBN: 978-3-032-00718-6

Copyright Year: 2026
DOI: https://doi.org/10.1007/978-3-032-00718-6_12

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