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Towards a Process Capability Assessment Model for Government Domain

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Software Process Improvement and Capability Determination (SPICE 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 609))

Abstract

Government Process Capability Determination Model is developed based on ISO/IEC 15504 by the authors in order to assess the extent of the processes to be consistently applied, managed, and controlled across governmental agencies. Government Process Reference Model consists of definitions of common processes across all governmental agencies as well as a generic process definition for agency-specific governmental processes. This study covers the development of the generic process definition in detail. AWL introduced by Medina-Mora is taken as a starting point to develop the generic process definition. A capability dimension based on the capability dimension of 15504-2 is defined. The outcomes and BPs described are, however, considered to be the minimum necessary to meet ISO/IEC 15504 requirements. In order to explore the applicability of the proposed definition, case studies are conducted. Public investment management process definition, ad-hoc defined beforehand, compared to the generic process definition. Moreover, The Graduate Student Selection process performed in METU is assessed and capability level of the process is determined; correspondingly, a roadmap to improve process capability level is derived. The findings of the study indicate the usefulness and adequacy of the proposed approach.

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Gökalp, E., Demirörs, O. (2016). Towards a Process Capability Assessment Model for Government Domain. In: Clarke, P., O'Connor, R., Rout, T., Dorling, A. (eds) Software Process Improvement and Capability Determination. SPICE 2016. Communications in Computer and Information Science, vol 609. Springer, Cham. https://doi.org/10.1007/978-3-319-38980-6_16

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  • DOI: https://doi.org/10.1007/978-3-319-38980-6_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38979-0

  • Online ISBN: 978-3-319-38980-6

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