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dc.contributor.advisorStålhane, Tornb_NO
dc.contributor.authorHermansen, Thomasnb_NO
dc.date.accessioned2014-12-19T13:34:21Z
dc.date.available2014-12-19T13:34:21Z
dc.date.created2010-09-05nb_NO
dc.date.issued2006nb_NO
dc.identifier349032nb_NO
dc.identifierntnudaim:1416nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/251494
dc.description.abstractToday more and more companies acquire enterprise-scale solutions for their organization. Enterprise-scale solutions connect departments and business functions in the organization in order to facilitate the coordination, communication, and work flow between them. However, when systems get more interconnected and complex, they are also more prone to faults. If business critical parts of the system are affected, this can be devastating for a company. When designing large enterprise scale systems, one uses a wide range of specialized models with different view points and applications. This fragmentation and specialization of the representation of the system decreases the clarity of the total enterprise model and implies that it is difficult to analyze the enterprise as a whole. To overcome this problem, specialized software tools that can integrate the sub models in a total model can be developed. This thesis will develop a tool assisted extended process to the development process Rational Unified Process that helps analyzing the design of enterprise solutions by integrating the behavioral and structural models of the system into a unified representation. The tools take basis in digitized models represented in UML, the industry standard language for modeling software systems. We will focus on the two quality attributes availability and criticality.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectSIF2 datateknikkno_NO
dc.subjectProgram- og informasjonssystemerno_NO
dc.titleModel Driven Enterprise Analysis: A model-driven tool-assisted process for criticality and availability analysis of enterprise systemsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber187nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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