Extreme Programming Project Performance Management by Statistical Earned Value Analysis

As an important project type of Agile Software Development, the performance evaluation and prediction for eXtreme Programming project has significant meanings. Targeting on the short release life cycle and concurrent multitask features, a statistical earned value analysis model is proposed. Based on the traditional concept of earned value analysis, the statistical earned value analysis model introduced Elastic Net regression function and Laplacian hierarchical model to construct a Bayesian Elastic Net model fitted for project performance evaluation and prediction. The model is demonstrated with the JAX Laboratory software development project data. With simulated coefficients estimation, we realized an empirical data support for project performance assessment