Paper Infomation
Agile Development Methods in Software Engineering and Their Efficiency Analysis
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Author: Shuntao Tang, Wei Chen
Abstract: This paper delves into Agile Development Methods in Software Engineering, contrasting them with the traditional Waterfall model and analyzing their efficiency. Agile methods, known for their adaptability and customer-centric approach, have gained prominence in the fast-paced software development industry. These methods, including Scrum, Kanban, and Extreme Programming (XP), are characterized by iterative cycles, collaborative efforts, and a focus on rapid delivery and quality improvement. The paper compares these agile methodologies to the sequential and rigid Waterfall model, highlighting agile’s superior flexibility, adaptability, and responsiveness to changing requirements. It emphasizes the importance of customer involvement in agile processes, which leads to higher satisfaction and better alignment with user expectations. The analysis reveals that agile methods not only enhance the speed of delivery but also improve the overall quality of the software product. The paper concludes that agile methodologies are more effective in today's dynamic software development environment, providing a robust framework for managing complex projects and ensuring the delivery of high-quality, relevant software solutions.
Keywords: Agile Development Methods, Software Engineering, Scrum, Kanban, Extreme Programming
References:
[1] Andrzej P, Karolina C. Analysis of the Use of Agile Methods, Tools and Techniques in Foundry Enterprises[J]. System Safety: Human - Technical Facility - Environment,2023,5(1):1-9
[2] Huss M, Herber R D, Borky M J. Comparing Measured Agile Software Development Metrics Using an Agile Model-Based Software Engineering Approach versus Scrum Only[J]. Software,2023,2(3):310-331
[3] Anže M, Simon V, Tomaž H. Agile Development of Secure Software for Small and Medium-Sized Enterprises[J]. Sustainability,2023,15(1):801-801
[4] Eduardo S R, Filemón E S V, Humberto M C. Effort and Cost Estimation Using Decision Tree Techniques and Story Points in Agile Software Development[J]. Mathematics,2023,11(6):1477-1477
[5] Mishra D, Mishra A, Abdalhamid S. Facilitators and inhibitors of Agile methods adoption: Practitioners view[J]. Systems Engineering,2023,26(6):891-907
[6] Kharchenko K, Beznosyk O, Bulakh B, et al. The development of the method of optimizing costs for software testing in the Agile model[J].Technology audit and production reserves,2023,6(2):10-14
[7] Jasmine K, Ompal S, Adarsh A, et al. A goal programming approach for agile-based software development resource allocation[J].Decision Analytics Journal,2023,6
[8] Torgeir D, Olav F B, Julian S, et al. A longitudinal explanatory case study of coordination in a very large development programme: the impact of transitioning from a first- to a second-generation large-scale agile development method[J]. Empirical Software Engineering,2022,28(1)