University of Oulu

Taibi, D., Lenarduzzi, V., Ahmad, M., Liukkunen, K. (2017) Comparing Communication Effort within the Scrum, Scrum with Kanban, XP, and Banana Development Processes. In Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE'17), 6 pages. DOI:10.1145/3084226.3084270

Comparing communication effort within the Scrum, Scrum with Kanban, XP, and Banana development processes

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Author: Taibi, Davide1; Lenarduzzi, Valentina1; Ahmad, Muhammad Ovais2;
Organizations: 1University of Bolzano/Bozen, Bolzano/Bozen, Italy
2University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019040311020
Language: English
Published: Association for Computing Machinery, 2017
Publish Date: 2019-04-03
Description:

Abstract

Context: Communication plays an important role in any development process. However, communication overhead has been rarely compared among development processes.

Objective: The goal of this work is to compare the communication overhead and the different channels applied in three agile processes (XP, Scrum, Scrum with Kanban) and in an unstructured process.

Method: We designed an empirical study asking four teams to develop the same application with the four development processes, and we compare the communication overhead among them.

Results: As expected, face-to-face communication is most frequently employed in the teams. Scrum with Kanban turned out to be the process that requires the least communication. Unexpectedly, despite requiring much more time to develop the same application, the unstructured process required comparable communication overhead (25% of the total development time) as the agile processes.

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ISBN Print: 978-1-4503-4804-1
Pages: 258 - 263
DOI: 10.1145/3084226.3084270
OADOI: https://oadoi.org/10.1145/3084226.3084270
Host publication: EASE'17 : Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering
Conference: International Conference on Evaluation and Assessment in Software Engineering
Type of Publication: A4 Article in conference proceedings
Field of Science: 119 Other natural sciences
113 Computer and information sciences
Subjects:
Copyright information: © ACM 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in EASE'17 : Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, https://doi.org/10.1145/3084226.3084270.