Benefits of card walls in agile software development. A systematic literature review
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Authors
Author (Corporation)
Publication date
2022
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Agile processes in software engineering and extreme programming
Special issue
DOI of the original publication
Link
Series
Lecture Notes in Business Information Processing
Series number
445
Volume
Issue / Number
Pages / Duration
3–18
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Cham
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Card walls are often used to visualize various aspects of the software development process. They are an essential and widespread agile practice. Despite the drawback of physical card walls, its digital version is often not considered a sufficient alternative. This paper aims to find the reason for this and suggests how to evolve digital card walls into a viable alternative. We conducted a systematic literature review and analyzed twenty-two studies. We identified which desirable effects agile teams get from card wall usage and derived a set of properties a card wall needs to achieve those effects. Furthermore, we suggested a typology of card walls to compare the benefits and challenges among them.
Keywords
Subject (DDC)
Event
XP. International Aonference on Agile Software Development
Exhibition start date
Exhibition end date
Conference start date
13.06.2022
Conference end date
17.06.2022
Date of the last check
ISBN
978-3-031-08168-2
978-3-031-08169-9
978-3-031-08169-9
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Gold
Citation
Sallin, M., & Kropp, M. (2022). Benefits of card walls in agile software development. A systematic literature review. In V. Stray, K.-J. Stol, M. Paasivaara, & P. Kruchten (Eds.), Agile processes in software engineering and extreme programming (pp. 3–18). Springer. https://doi.org/10.1007/978-3-031-08169-9_1