Machine Learning Based Approach for User Story Clustering in Agile Engineering

Author:

Kumar Bhawnesh,Tiwari Umesh Kumar,Dobhal Dinesh C.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference30 articles.

1. Alessandra P, Scarpato N. Affective agile design a proposal for a new software development model. J Theor Appl Inf Technol. 2018;96(1):68–79.

2. Abrahamsson P, Oza N, Siponen MT. Agile software development methods: a comparative review. Int Conf Softw. Eng 2003;7(2).

3. Cohn M. User stories applied for agile software development. 13th ed. Inc, Redwood City: Addison Wesley Longman Publishing Co.; 2004.

4. Lucassen G, Dalpiaz F, Werf JVD, Brinkkemper S. Improving agile requirements: the quality user story framework and tool. Requirements Eng. 2016;21(3):383–403.

5. Ochodek M, Kopczynska S. Perceived importance of agile requirements engineering practices - a survey. J Syst Softw. 2018;143:29–43.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A systematic literature review on machine learning applications for agile project management;Ingeniería Investigación y Tecnología;2024-07-01

2. K-Means and Feature Selection Mechanism to Improve Performance of Clustering User Stories in Agile Development;2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA);2023-11-24

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