Empirical Study of Agile Software Development Methodologies: A Comparative Analysis
Asian Journal of Research in Computer Science · pp. 30–42 · Published 27 Feb 2024
10.9734/ajrcos/2024/v17i5436Abstract
The comparative analysis of software development models, also called the Software Development Life Cycle (SDLC), is an everyday discourse among software engineers, reflecting the dynamic nature of the field. Within this realm, various software development methodologies, such as prototyping, spiral development, and Rapid Action Development, have been established and recognised for their unique approaches to software creation. In recent years, Agile methodologies have emerged as prominent contenders in software development, offering flexibility, adaptability, and efficiency in delivering high-quality software within designated timeframes. Among the array of Agile methodologies, including Dynamic System Development Method (DSDM), Scrum, Feature-Driven Development (FDD), Extreme Programming (XP), Kanban, Adaptive Software Development (ASD), Mendix, Lean, and Crystal, several have garnered significant attention in the software development community. Specifically, ASD, DSDM, XP, FDD, Kanban, and Scrum have emerged as prominent choices among Agile methods utilised by software developers. This study conducts a comprehensive examination and comparison of these six Agile software models, aiming to elucidate their functionalities, strengths, and weaknesses. The findings of this comparative analysis seek to provide valuable insights for software industries, enabling informed decision-making when selecting software development models for upcoming projects. By understanding each Agile methodology's nuanced differences and capabilities, software developers and industry stakeholders can align their project requirements with the most suitable software development approach, ultimately optimising project outcomes and software quality.
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