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 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.