A Bayesian Based Method for Agile Software Development Release Planning and Project Health Monitoring

Agile software development (ASD) techniques are iteration based powerful methodologies to deliver high quality software. To ensure on time high quality software, the impact of factors affecting the development cycle should be evaluated constantly. Quick and precise factor evaluation results in bette...

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Bibliographic Details
Published in2010 International Conference on Intelligent Networking and Collaborative Systems pp. 192 - 199
Main Authors Nagy, A, Njima, M, Mkrtchyan, L
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2010
Subjects
Agile Software Development
Bayesian methods
Bayesian Networks
Complexity theory
Decision Support
Intelligent Networks
Planning
Probability distribution
Programming
Software
Software Project Management
Variable speed drives
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Summary:Agile software development (ASD) techniques are iteration based powerful methodologies to deliver high quality software. To ensure on time high quality software, the impact of factors affecting the development cycle should be evaluated constantly. Quick and precise factor evaluation results in better risk assessment, on time delivery and optimal use of resources. Such an assessment is easy to carry out for a small number of factors. However, with the increase of factors, it becomes extremely difficult to assess in short time periods. We have designed and developed a project health measurement model to evaluate the factors affecting software development of the project. We used Bayesian networks (BNs) as an approach that gives such an estimation. We present a quantitative model for project health evaluation that helps decision makers make the right decision early to amend any discrepancy that may hinder on time and high quality software delivery.
ISBN:1424488281
9781424488285
DOI:10.1109/INCOS.2010.99