Comparing Requirements Decomposition Within the Scrum, Scrum with Kanban, XP, and Banana Development Processes-Reference-Cited by-同舟云学术

Comparing Requirements Decomposition Within the Scrum, Scrum with Kanban, XP, and Banana Development Processes

Published:2017 Issue: Volume: Page:68-83
ISSN:1865-1348
Container-title:Lecture Notes in Business Information Processing
language:
Short-container-title:

Author:

Taibi Davide^ORCID,Lenarduzzi Valentina^ORCID,Janes Andrea^ORCID,Liukkunen Kari^ORCID,Ahmad Muhammad Ovais^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-57633-6_5

Reference21 articles.

1. Yin, R.K.: Case Study Research: Design and Methods, 4th edn. Sage, Thousand Oaks (2009)

2. Basili, V.R., Caldiera, G., Rombach, H.D.: The goal question metric approach. In: Encyclopedia of Software Engineering (1994)

3. Lawrence, R.: Patterns for splitting user stories. Agile For All Blog, 28 October 2009. http://Agileforall.com/patterns-for-splitting-user-stories/ . Accessed 8 Dec 2016

4. Irwin, B.: Boulders to gravel: techniques for decomposing user stories. VersionOne Blog, 9 May 2014. https://blog.versionone.com/boulders-to-gravel-techniques-for-decomposing-user-stories/ . Accessed 8 Dec 2016

5. Verwijs, C.: 10 useful strategies for breaking down large User Stories (and a cheatsheet). Agilistic Blog. n.d. http://blog.agilistic.nl/10-useful-strategies-for-breaking-down-large-user-stories-and-a-cheatsheet/ . Accessed 8 Dec 2016

Cited by 19 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. User Story Splitting in Agile Software Development using Machine Learning Approach;2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC);2022-11-25

2. Systematic Literature Mapping of User Story Research;IEEE Access;2022

3. Systems Thinking Approach to Implementing Kanban: A case study;Journal of Software: Evolution and Process;2020-10-05

4. A Decomposition and Metric-Based Evaluation Framework for Microservices;Communications in Computer and Information Science;2020

5. A predictive model to identify Kanban teams at risk;Model Assisted Statistics and Applications;2019-12-23