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Extreme Programming Project Performance Management By Statistical Earned Value Analysis

Author

Listed:
  • Wei Lu
  • Li Lu

Abstract

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.

Suggested Citation

  • Wei Lu & Li Lu, 2013. "Extreme Programming Project Performance Management By Statistical Earned Value Analysis," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 7(5), pages 115-120.
    • Handle: RePEc:ibf:gjbres:v:7:y:2013:i:5:p:115-120
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    More about this item

    Keywords

    Project Management; Performance; Prediction; Earned Value;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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