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A New Metric to Estimate Project Development Time: Process Points

  • Conference paper
7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 172))

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Abstract

In this article, a new metrics to estimate project development time is proposed. The approach is based on business process models. The estimates are divided into four categories: process, screen, integration and service. They are quantified in process points. The project must be modeled as a business process, the four estimates must be calculated and added to obtain the final project complexity. It is a faster method to evaluate the design of complex software systems.

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Author information

Authors and Affiliations

  1. Instituto de Computação, IC, UNICAMP, 13084-971, Campinas, SP, Brasil

    Charles Felipe Oliveira Viegas & Maria Beatriz Felgar de Toledo

Authors
  1. Charles Felipe Oliveira Viegas
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  2. Maria Beatriz Felgar de Toledo
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Corresponding author

Correspondence to Charles Felipe Oliveira Viegas .

Editor information

Editors and Affiliations

  1. Staffordshire University, FCET, Stafford, ST18 OAD, United Kingdom

    Lorna Uden

  2. Department Computer Science and, Artificial Intelligence, Universidad Granada, C/ Periodista Daniel Saucedo Aranda s/n, Granada, 18071, Spain

    Francisco Herrera

  3. , Faculty of Computer Science, Pontificial University of Salamanca, C/Compañía 5, Salamanca, 37002, Spain

    Javier Bajo Pérez

  4. Department of Computing Science, and Control, Universidad Salamanca, Plaza de la Merced, s/n s/n, Salamanca, 37008, Spain

    Juan Manuel Corchado Rodríguez

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© 2013 Springer-Verlag Berlin Heidelberg

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Viegas, C.F.O., de Toledo, M.B.F. (2013). A New Metric to Estimate Project Development Time: Process Points. In: Uden, L., Herrera, F., Bajo Pérez, J., Corchado Rodríguez, J. (eds) 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing. Advances in Intelligent Systems and Computing, vol 172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30867-3_18

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  • DOI: https://doi.org/10.1007/978-3-642-30867-3_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30866-6

  • Online ISBN: 978-3-642-30867-3

  • eBook Packages: EngineeringEngineering (R0)

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