Agile tailoring in distributed large-scale environments using agile frameworks: A Systematic Literature Review

Abstract

With the increasing adoption of agile methodologies in distributed software development teams, there is a need to adapt these practices for large-scale environments. However, the lack of specific guidance can make this process difficult. To evaluate how large-scale agile distributed teams adapt their practices to meet their specific contexts, this study launches a Systematic Literature Review (SLR). The SLR presents adaptations of agile methodologies in distributed software development teams operating in large-scale environments. With the growing popularity of agile methodologies, there is an increasing need to adapt them to suit the specific needs of distributed teams operating in large-scale contexts. The review identified 96 adapted practices from five agile frameworks (Scrum, Scaled Agile Framework (SAFe), Large Scale Scrum (LeSS), the Spotify model, and Disciplined Agile Delivery (DAD)) used in various case studies between 2007 and 2021. Scrum was the most commonly adapted framework with 32 customized practices, followed by SAFe (25), LeSS (17), the Spotify model (13), and DAD (9). The review provides insights into how these practices have been tailored to meet the needs of distributed teams in large-scale contexts. The findings can guide organizations in adapting agile practices to their specific contexts.

Keywords

• Agile,
• Distributed Software Development
• Large-scale
• Tailoring agile
• Scaling agile frameworks
• Agile frameworks