International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Analysis Study Research Paper | Software Engineering | India | Volume 13 Issue 1, January 2024 | Popularity: 5.1 / 10


     

Comparative Analysis of Waterfall and Agile Software Development Models: A Comprehensive Review

Narasimha Murthy MR


Abstract: The software development landscape presents a diverse range of methodologies, each addressing specific project needs and contexts. Two prominent approaches remain at the forefront: the traditional Waterfall model and the iterative, adaptive world of Agile. Navigating the choice between these methodologies requires a nuanced understanding of their strengths, weaknesses, and suitability for different project scenarios. This paper presents a comprehensive comparative analysis of Waterfall and Agile software development models, delving into their fundamental principles, project phases, risk management approaches, advantages and disadvantages, and suitability for various project types. Additionally, the paper explores hybrid techniques that leverage the strengths of both approaches for optimal project outcomes. By the end, readers will gain a comprehensive understanding of these two distinct yet influential methodologies and the factors to consider when selecting the most effective approach for their software development endeavor.


Keywords: software development, Waterfall model, Agile methodology, comparative analysis, hybrid techniques


Edition: Volume 13 Issue 1, January 2024


Pages: 580 - 581


DOI: https://www.doi.org/10.21275/SR24105103239



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Narasimha Murthy MR, "Comparative Analysis of Waterfall and Agile Software Development Models: A Comprehensive Review", International Journal of Science and Research (IJSR), Volume 13 Issue 1, January 2024, pp. 580-581, URL: https://www.ijsr.net/getabstract.php?paperid=SR24105103239, DOI: https://www.doi.org/10.21275/SR24105103239



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Study of the Precision and Feasibility of Facial Recognition using OpenCV with Java for a System of Assistance Control

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