DocumentCode
84922
Title
Economic Governance of Software Delivery
Author
Cantor, Murray ; Royce, Walker
Volume
31
Issue
1
fYear
2014
fDate
Jan.-Feb. 2014
Firstpage
54
Lastpage
61
Abstract
Agility without objective governance cannot scale, and governance without agility cannot compete. Agile methods are mainstream, and software enterprises are adopting these practices in diverse delivery contexts and at enterprise scale. IBM´s broad industry experience with agile transformations and deep internal know-how point to two key principles to deliver sustained improvements in software business outcomes with higher confidence: measure and streamline change costs, and steer with economic governance and Bayesian analytics. Applying these two principles in context is the crux of measured improvement in continuous delivery of smarter software-intensive systems. This article describes more meaningful measurement and prediction foundations for economic governance. The Web extra at http://youtu.be/ghAM8ifyeVI is a video in which Walker Royce, author, IEEE Software editorial board member, and IBM Chief Software Economist, describes how to reason about software delivery governance with lean principles.
Keywords
DP industry; software prototyping; software quality; Bayesian analytics; IBM broad industry; agile methods; economic governance; smarter software-intensive systems; software business; software delivery governance; software enterprises; Bayes methods; Cognition; Economics; Measurement uncertainty; Software quality; Uncertainty; Bayesian analytics; economic governance; measuring agility; steering leadership;
fLanguage
English
Journal_Title
Software, IEEE
Publisher
ieee
ISSN
0740-7459
Type
jour
DOI
10.1109/MS.2013.102
Filename
6581776
Link To Document