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International Conference on Software and Data Technologies

ICSOFT 2006: Software and Data Technologies pp 127–135Cite as

MDE for BPM: A Systematic Review

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 10))

Abstract

Due to the rapid change in the business processes of organizations, Business Process Management (BPM) has come into being. BPM helps business analysts to manage all concerns related to business processes, but the gap between these analysts and people who build the applications is still large. The organization’s value chain changes very rapidly; to modify simultaneously the systems that support the business management process is impossible. MDE (Model Driven Engineering) is a good support for transferring these business process changes to the systems that implement these processes. Thus, by using any MDE approach, such as MDA, the alignment between business people and software engineering should be improved. To discover the different proposals that exist in this area, a systematic review was performed. As a result, the OMG’s Business Process Definition Metamodel (BPDM) has been identified as the standard that will be the key for the application of MDA for BPM.

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Authors and Affiliations

  1. Alarcos Research Group, University of Castilla-La Mancha, Paseo de la Universidad, 4, 13071, Ciudad Real, Spain

    Jose Manuel Perez, Francisco Ruiz & Mario Piattini

Authors
  1. Jose Manuel Perez
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  2. Francisco Ruiz
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  3. Mario Piattini
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Editor information

Joaquim Filipe Boris Shishkov Markus Helfert

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© 2008 Springer-Verlag Berlin Heidelberg

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Perez, J.M., Ruiz, F., Piattini, M. (2008). MDE for BPM: A Systematic Review. In: Filipe, J., Shishkov, B., Helfert, M. (eds) Software and Data Technologies. ICSOFT 2006. Communications in Computer and Information Science, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70621-2_11

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  • DOI: https://doi.org/10.1007/978-3-540-70621-2_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70619-9

  • Online ISBN: 978-3-540-70621-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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