Swarm Intelligence in Agile Software Development: a Comparative Review

EasyChair Preprint 12894

Abstract

This paper presents a comprehensive comparative review of the integration of swarm intelligence (SI) techniques within agile software development methodologies. Agile methodologies have gained widespread adoption due to their iterative and collaborative nature, enabling teams to respond effectively to changing requirements and deliver high-quality software products. Swarm intelligence, inspired by the collective behavior of natural systems such as ant colonies and bee swarms, offers potential benefits for enhancing collaboration, problem-solving, and decision-making in agile teams. This review critically examines existing literature and case studies to evaluate the effectiveness of SI-integrated agile frameworks compared to traditional approaches. Key findings, challenges, and future research directions are discussed to provide insights for practitioners and researchers interested in leveraging swarm intelligence in agile software development.

Keyphrases: Agile Methodology, Agile Software Development, Swarm Intelligence, collaboration, decision making, problem solving

@booklet{EasyChair:12894,
  author    = {Wahaj Ahmed and Rahul Agarwal},
  title     = {Swarm Intelligence in Agile Software Development: a Comparative Review},
  howpublished = {EasyChair Preprint 12894},
  year      = {EasyChair, 2024}}