Abstract
Financial analysis of solution architectures is essential to determine their profitability and justify their implementation. These financial analyses are supported on variables such as costs and benefits which should be standardized, clear and consistent to understand the objectives of the financial analysis, the relationship between the variables and the components of the solution architecture, and the financial indicators obtained once the financial analysis is performed. To do that, the financial analysis of solution architecture should be supported in a conceptual model that contains the concepts, relationships and explanations that support a financial analysis. However, the current models are focused on the structure of solution architectures and they are limited with respect to their financial concepts. As a result, the understanding and identification of those concepts are usually done informally, turning this process into a complicated and an error-prone task. The article presents a theoretical conceptual model, called FINFLEX-CM, that formalizes the concepts and supports the financial analysis of solution architectures, increasing understanding and promoting the standardization.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brealey, R.A., Myers, S.C., Allen, F.: Principles of Corporate Finance, 10th edn. McGraw-Hill Companies, New York (2011)
Iacob, M.E., Meertens, L.O., Jonkers, H., Quartel, D.A.C., Nieuwenhuis, L.J.M., Sinderen, M.J.: From enterprise architecture to business models and back. Softw. Syst. Model. 13(3), 1059–1083 (2014). http://dx.doi.org/10.1007/s10270-012-0304-6
Irani, Z., Ghoneim, A., Love, P.E.: Evaluating cost taxonomies for information systems management. Eur. J. Oper. Res. 173(3), 1103–1122 (2006). http://linkinghub.elsevier.com/retrieve/pii/S0377221705004893
ISO/IEC/IEEE: A Conceptual Model of Architecture Description (2013). http://www.iso-architecture.org/ieee-1471/cm/
Lagerström, R., Johnson, P., Ekstedt, M.: Architecture analysis of enterprise systems modifiability: a metamodel for software change cost estimation. Softw. Qual. J. 18(4), 437–468 (2010). http://link.springer.com/10.1007/s11219-010-9100-0
NASCIO: NASCIO EA Development Tool-Kit Solution Architecture Version 3.0. Technical report, NASCIO, Missouri, US, October 2004. http://www.nascio.org/portals/0/EAToolKit/NASCIO-AEADTool-Kitv3.pdf
Neufville, R.D., Scholtes, S.: Flexibility in Engineering Design. Massachusetts Institute of Technology, London (2011)
North Atlantic Treaty Organisation (Nato): Methods and Models for Life Cycle Costing (Méthodes et modèles d ’ évaluation du coût de possession). Technical report, North Atlantic Treaty Organisation (Nato), June 2007. www.rto.nato.int
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24(3), 45–78 (2007). http://dx.doi.org/10.2753/MIS0742-1222240302
Pena, Y., Correal, D., Miranda, E.: A review of the current situation, challenges and opportunities in the financial analysis of enterprise architectures. World Revi. Sci. Technol. Sustain. Dev. (WRSTSD) 13(2), 145–173 (2017). http://dx.doi.org/10.1504/WRSTSD.2017.10004966
Project Management Institute: A Guide to the Project Management Body of Knowledge, 5th edn. Project Management Institute Inc., Pennsylvania (2013)
Sonnenberg, C., Brocke, J.: Evaluation patterns for design science research artefacts. In: Helfert, M., Donnellan, B. (eds.) EDSS 2011. CCIS, vol. 286, pp. 71–83. Springer, Heidelberg (2012). doi:10.1007/978-3-642-33681-2_7
Thalheim, B.: The science and art of conceptual modelling. In: Hameurlain, A., Küng, J., Wagner, R., Liddle, S.W., Schewe, K.-D., Zhou, X. (eds.) Transactions on Large-Scale Data-and Knowledge-Centered Systems VI. LNCS, vol. 7600, pp. 76–105. Springer, Heidelberg (2012). doi:10.1007/978-3-642-34179-3_3
The Open Group: TOGAF® Version 9.1. The Open Group, U.S., 9.1 edn. (2011). http://www.opengroup.org/togaf/
The Open Group: Archimate 2.1 Specification. Technical report, The Open Group, United Kingdom (2012). http://pubs.opengroup.org/architecture/archimate2-doc/
Vélez Pareja, I.: Decisiones bajo incertidumbre. In: Norma, G.E. (ed.) Decisiones Empresariales Bajo Riesgo e Incertidumbre, chap. 3, p. 48. Grupo Editorial Norma, Bogotá (2003). www.norma.com
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Pena, Y., Miranda, E., Correal, D. (2017). FINFLEX-CM: A Conceptual Model for Financial Analysis of Solution Architectures Considering the Uncertainty and Flexibility. In: Solano, A., Ordoñez, H. (eds) Advances in Computing. CCC 2017. Communications in Computer and Information Science, vol 735. Springer, Cham. https://doi.org/10.1007/978-3-319-66562-7_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-66562-7_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66561-0
Online ISBN: 978-3-319-66562-7
eBook Packages: Computer ScienceComputer Science (R0)