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A Proposal for the Improvement Predictability of Cost Using Earned Value Management and Quality Data

  • Adler Diniz de Souza
  • Ana Regina Cavalcanti Rocha
Part of the Communications in Computer and Information Science book series (CCIS, volume 364)

Abstract

Although the Earned Value Management – EVM technique is utilized by several companies in different sectors for over 35 years, in order to predict cost results, many studies detected vulnerabilities in the technique, among them: (i) there is instability in the cost and time performance indicators during the Project; (ii) there is a trend of deterioration in the cost and time indicators when the projects are near their end, and others. The present study proposes an extension of this technique, through the integration of the history of quality performance data as means of improving the technique’s cost predictability. The proposed technique is evaluated and compared to the traditional technique through different hypothesis tests, utilizing data from the simulation projects. The technique was more accurate and more precise than the traditional EVM for the calculation of the Cost Performance Index – CPI and the Estimate At Completion – EAC.

Keywords

Earned Value Management Cost Performance Index - CPI Estimate At Completion - EAC Software Quality Measurement and Analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Adler Diniz de Souza
    • 1
  • Ana Regina Cavalcanti Rocha
    • 1
  1. 1.Programa de Engenharia de Sistemas e ComputaçãoCOPPE/UFRJ - Universidade Federal do Rio de JaneiroRio de JaneiroBrazil

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