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Auflistung nach Autor:in "Johnson, Pontus"

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  • Konferenzbeitrag
    An enterprise architecture management pattern for software change project cost analysis
    (Software Engineering 2009, 2009) Lagerström, Robert; Johnson, Pontus; Höök, David
    Business environments today progress and change rapidly. Most business processes are supported by information systems and since the business processes change the information systems need to be changed as well. An essential issue with today's software systems is that many of them are interconnected, thus a change to one system may cause a ripple effect among other systems. Also, numerous systems have been developed and modified during many years and to make further changes to them requires a lot of effort from the organization. This paper suggests enterprise architecture as an approach to model software systems and their environment. An enterprise architecture management pattern in the form of a metamodel for change project costs modeling and analysis is presented. IT decision makers can use this metamodel in order to make cost predictions and do risk analysis for their change projects. The employment of the model is illustrated with ten projects.
  • Konferenzbeitrag
    A survival analysis of application life spans based on enterprise architecture models
    (Enterprise modelling and information systems architectures, 2009) Aier, Stephan; Buckl, Sabine; Franke, Ulrik; Gleichauf, Bettina; Johnson, Pontus; Närman, Per; Schweda, Christian M.; Ullberg, Johan
    Modern enterprises face the challenge to survive in an ever changing environment. One commonly accepted means to address this challenge and further enhance survivability is enterprise architecture (EA) management, which provides a holistic model-based approach to business/IT alignment. Thereby, the decisions taken in the context of EA management are based on accurate documentation of IT systems and business processes. The maintenance of such documentation causes high investments for enterprises, especially in the absence of information on the change rates of different systems and processes. In this paper we propose a method for gathering and analyzing such information. The method is used to analyze the life spans of the application portfolio of three companies from different industry sectors. Based on the results of the three case studies implications and limitations of the method are discussed.