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Why Adapt RAG for Agile? Challenges, Frameworks, and the Role of Evaluator Agent

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Abstract

This paper proposes the adaptation of Retrieval Augmented Generation (RAG) based systems into Agile Software Development workflows, addressing the need for specialized evaluation methods that align with Agile’s iterative, feedback driven nature. Through a systematic mapping study of 20 papers, we identify existing evaluation frameworks for RAG systems and explore how they can be applied within Agile settings. The research highlights the role of Evaluator-Agents in aligning the responsiveness of RAG systems, with a focus on Multi-agent AI systems that are more efficient at handling complex, distributed tasks than Single-agent systems. The findings contribute to identify the potential of RAG and its evaluation in facilitating real time feedback and continuous improvement for Agile development.

Original languageEnglish
Title of host publicationAgile Processes in Software Engineering and Extreme Programming – Workshops - XP 2025 Workshops, Revised Selected Papers
EditorsSibylle Peter, Martin Kropp, Torgeir Dingsøyr, Clare Dillon, Philipp Diebold, Deepti Jain, Maria Ilaria Lunesu, Andrea Pinna
PublisherSpringer
Pages22-31
Number of pages10
ISBN (Print)978-3-032-05798-3
DOIs
Publication statusPublished - 2025
Publication typeA4 Article in conference proceedings
EventInternational Conference on Agile Software Development - Brugg-Windisch, Switzerland
Duration: 2 Jun 20255 Jun 2025

Publication series

NameLecture Notes in Business Information Processing
Volume561 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

ConferenceInternational Conference on Agile Software Development
Country/TerritorySwitzerland
CityBrugg-Windisch
Period2/06/255/06/25

Keywords

  • Agile
  • AI
  • Evaluation
  • Large Language Models (LLMs)
  • Mapping-Study
  • Multi-agent
  • Retrieval-Augmented Generation (RAG)

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Management Information Systems
  • Control and Systems Engineering
  • Business and International Management
  • Information Systems
  • Modelling and Simulation
  • Information Systems and Management

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