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 :
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