Metrics Framework for Cycle-Time Reduction in Software Value Creation
Abstract
Agile software development methodologies driving
cycle-time reduction have been shown to improve efficiency,
enable shorter lead times and place a stronger focus on
customer needs. They are also moving the process development
focus from cost-reduction towards value creation. Optimizing
software development based on lean and agile principles
requires tools and metrics to optimize against. We need a new
set of metrics that measure the process up to the point of
customer use and feedback. With these we can drive cycle time
reduction and improve value focus. Recently the lean startup
methodology has been promoting a similar approach within
the startup context. In this paper, we develop and validate a
cycle-time-based metric framework in the context of the
software feature development process and provide the basis for
fast feedback from customers. We report results on applying
three metrics from the framework to improve the cycle-time of
the development of features for a SaaS service.
Main Authors
Format
Conferences
Conference paper
Published
2015
Series
Subjects
Publication in research information system
Publisher
IARIA
Original source
http://www.thinkmind.org/index.php?view=article&articleid=icsea_2015_8_20_10119
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201511243795Use this for linking
Parent publication ISBN
978-1-61208-438-1
Review status
Peer reviewed
ISSN
2308-4235
Conference
International conference on software engineering advances
Language
English
Published in
International Conference on Software Engineering Advances
Is part of publication
ICSEA 2015 : The Tenth International Conference on Software Engineering Advances
Citation
- Tyrväinen, P., Saarikallio, M., Aho, T., Lehtonen, T., & Paukeri, R. (2015). Metrics Framework for Cycle-Time Reduction in Software Value Creation. In R. Oberhauser, L. Lavazza, H. Mannaert, & S. Clyde (Eds.), ICSEA 2015 : The Tenth International Conference on Software Engineering Advances (pp. 220-227). IARIA. International Conference on Software Engineering Advances. http://www.thinkmind.org/index.php?view=article&articleid=icsea_2015_8_20_10119
Copyright© IARIA, 2015. Published in this repository with the kind permission of the publisher.