Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-22989
Publication type: Conference paper
Type of review: Peer review (publication)
Title: Measuring software delivery performance using the four key metrics of DevOps
Authors: Sallin, Marc
Kropp, Martin
Anslow, Craig
Quilty, James W.
Meier, Andreas
et. al: No
DOI: 10.1007/978-3-030-78098-2_7
10.21256/zhaw-22989
Proceedings: Agile Processes in Software Engineering and Extreme Programming
Editors of the parent work: Gregory, Peggy
Lassenius, Casper
Wang, Xiaofeng
Kruchten, Philippe
Page(s): 103
Pages to: 119
Conference details: 22nd International Conference on Agile Software Development (XP 2021), Virtual Event, 14-18 June 2021
Issue Date: 2021
Series: Lecture Notes in Business Information Processing
Series volume: 419
Publisher / Ed. Institution: Springer
Publisher / Ed. Institution: Cham
ISBN: 978-3-030-78097-5
978-3-030-78098-2
ISSN: 1865-1348
1865-1356
Language: English
Subjects: DevOps; Agile metrics; Four key metrics; IT-performance
Subject (DDC): 005: Computer programming, programs and data
Abstract: The Four Key Metrics of DevOps have become very popular for measuring IT-performance and DevOps adoption. However, the measurement of the four metrics deployment frequency, lead time for change, time to restore service and change failure rate is often done manually and through surveys - with only few data points. In this work we evaluated how the Four Key Metrics can be measured automatically and developed a prototype for the automatic measurement of the Four Key Metrics. We then evaluated if the measurement is valuable for practitioners in a company. The analysis shows that the chosen measurement approach is both suitable and the results valuable for the team with respect to measuring and improving the software delivery performance.
URI: https://digitalcollection.zhaw.ch/handle/11475/22989
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Appears in collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2021_Sallin-etal_Measuring-software-delivery-performance.pdf1.01 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.