Waste self-reporting for software development productivity improvement
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Author (Corporation)
Publication date
2023
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
475
Volume
Issue / Number
Pages / Duration
50–66
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Cham
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Little research has been done on enabling software development teams to self-report waste to assist in productivity improvement. This study created a waste categorization and survey for teams to identify and quantify wasteful activities. Developers from a Swiss company used the survey for three weeks. Participants found the survey helpful for identifying waste but there was little evidence that self-reported waste correlated with improved performance.
Keywords
Subject (DDC)
Event
XP. International Conference on Agile Software Development
Exhibition start date
Exhibition end date
Conference start date
13.06.2023
Conference end date
16.06.2023
Date of the last check
ISBN
978-3-031-33975-2
978-3-031-33976-9
978-3-031-33976-9
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
License
Citation
Sallin, M., Kropp, M., Anslow, C., & Biddle, R. (2023). Waste self-reporting for software development productivity improvement. In C. J. Stettina, J. Garbajosa, & P. Kruchten (Eds.), Agile processes in software engineering and extreme programming (pp. 50–66). Springer. https://doi.org/10.1007/978-3-031-33976-9_4