Comparing Agile Transitions: A Study of XP, Scrum, and Hybrid Frameworks
Abstract
Agile has become a cornerstone of modern software development. Among its many frameworks, Extreme Programming (XP) and Scrum are the most widely recognized. XP emphasizes technical practices and engineering discipline while Scrum provides structured roles and iterative planning. Over time, many organizations have also adopted hybrid models that combine the strengths of both. Despite their popularity, teams often face challenges when deciding which approach to adopt. The choice between XP, Scrum or a hybrid is not always straightforward as each carries different strengths, limitations and suitability for specific contexts. This paper addresses this issue by presenting a comparative analysis of XP, Scrum and their hybrids. First, we revisit their phases and key practices along with their strengths, weaknesses and application. Then a detailed comparison is presented between XP, Scrum and their Hybrids. Building on this analysis, we have proposed a structured decision framework. This framework provides a clear criteria and step-by-step guidance to help practitioners select the most suitable approach for their projects. The framework is supported by subsections that explain evaluation criteria and conceptual use cases. In addition, published case studies are discussed to validate the framework and show how XP, Scrum, and hybrid methods are applied in practice. The paper also outlines future directions for agile practices including the role of AI, scaling strategies and distributed collaboration. Through this work, the paper offers both critical insights and practical tools for researchers and practitioners. It highlights not only how XP and Scrum compare but also how hybrid approaches can improve agile adoption in today’s dynamic development landscape.
Fields of Study & Subjects
Software Engineering Techniques and Practices
Advanced Software Engineering Methodologies
Safety Systems Engineering in Autonomy
Publication details
- Journal / source
- ICCK Journal of Software Engineering
- Volume
- 2
- Issue
- 1
- Pages
- 30–51
- Publication date
- 8 February 2026