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Enterprise Engineering Working Conference

EEWC 2015: Advances in Enterprise Engineering IX pp 144–159Cite as

A Non-arbitrary Method for Estimating IT Business Function Recovery Complexity via Software Complexity

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 211))

Abstract

The goal of the present paper is to introduce a new model for estimating business function recovery complexity in order to predict reasonable recovery timeframes in case of an unexpected information system failure. The method has its roots in the Use Case Points approach, which is a broadly tested tool for software complexity estimation. The current paper illustrates the pure theoretical form of the new model as well as the mapping between software complexity and business function recovery complexity. The method includes 3 categories of factors which affect the recovery procedure and are weighted according to the Rank Order Centroid (ROC) approach of assigning weights. The method is entitled Business Continuity Points. The idea behind the development of the new method is the establishment of a standard approach for implementing efficient time management regarding business function recovery. The estimated recovery time depends on the impact of technical, environmental and unexpected factors. Each function’s Recovery Time should be compared with the Recovery Time Objective (RTO) and Maximum Accepted Outage (MAO) values as they are proposed by business continuity and IT experts.

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Notes

  1. 1.

    Classification can also be performed for a single business process according to the number of Activities inside the process.

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Acknowledgments

The current work is supported by the SGS Project with the Number 21079, from Technical University of Liberec.

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Authors and Affiliations

  1. Faculty of Economics, Department of Informatics, Technical University of Liberec, Studentská 1402/2, 461 17, Liberec 1, Czech Republic

    Athanasios Podaras

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  1. Athanasios Podaras
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Correspondence to Athanasios Podaras .

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Editors and Affiliations

  1. University of Madeira, Funchal, Portugal

    David Aveiro

  2. Czech Technical University in Prague, Prague, Czech Republic

    Robert Pergl

  3. Czech Technical University in Prague, Prague, Czech Republic

    Michal Valenta

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Podaras, A. (2015). A Non-arbitrary Method for Estimating IT Business Function Recovery Complexity via Software Complexity. In: Aveiro, D., Pergl, R., Valenta, M. (eds) Advances in Enterprise Engineering IX. EEWC 2015. Lecture Notes in Business Information Processing, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-19297-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-19297-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19296-3

  • Online ISBN: 978-3-319-19297-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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