A Consistent Framework for Enterprise Information System Engineering.
ABSTRACT System engineering is the process of defining the desired architecture of a system and exploring performance requirements, ensuring that all system components are identified and properly allocated and system resources can provide the desired performance. A consistent framework for enterprise information engineering, compatible to Zachman framework is proposed. It consists of a metamodel describing different system views and the relations between them, a corresponding methodology of discrete stages, performed by the system designer or software tools, and a UML 2.0 profile for view representation
Full-textDOI: · Available from: Nancy Alexopoulou, May 11, 2015
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Conference Paper: Accommodating EIS UML 2.0 Profile using a standard UML modeling tool.[Show abstract] [Hide abstract]
ABSTRACT: Extension mechanisms offered by UML 2.0 are often explored in order to define UML profiles that serve specific modeling purposes. These UML 2.0 profiles should be effectively accommodated by standard UML-based modeling tools, which provide the means for applying them in practice. Almost every UML 2.0 modeling tool supports the definition of stereotypes and the description of constraints in Object Constraint Language. However, implementing a profile in practice often entails the development of additional functionality. This requirement mainly stems from the fact that when dealing with complex models it is more efficient for end-users to help them enforce a constraint rather than notify them when it is broken. Such issues, encountered when developing a UML 2.0 profile for enterprise information systems engineering using Rational Software Modeler as a standard UML 2.0 modeling tool, are discussed in the paper.Proceedings of the Second International Conference on Software Engineering Advances (ICSEA 2007), August 25-31, 2007, Cap Esterel, French Riviera, France; 01/2007
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ABSTRACT: Information systems are vital elements in knowledge-intensive organizations. Organizations devote significant resources to deployment and maintenance of their information infrastructure and systems. The systems incorporate resources, services and business processes critical for proper functioning of organizations. Suitable management of information systems is imperative. Despite technological advancements and significant investments, organizational information systems suffer from low usability. Low usability arises from misalignment between natural characteristics of human interactions with digital environments and their design and implementation. Analytics expose hidden difficulties and enable effective evidence-based management and innovation. We present important managerial implications of analytic findings derived from a real world case study of a large-scale organizational portal. The findings supply pertinent actionable knowledge for effective human-centric evidence-based management of information systems.
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ABSTRACT: Modern enterprise information systems are distributed systems usually built on multi-tiered client server architectures and can be defined using well-established frameworks such as the Zachman framework or the Open Distributed Processing Reference Model (RM-ODP). Both frameworks identify views regarding the system designer's viewpoint, but they do not suggest a methodology for view creation. A consistent framework for enterprise information system engineering, compatible with both the Zachman framework and RM-ODP is proposed by the authors. It consists of a metamodel describing alternative system views, a corresponding methodology comprising discrete stages performed either by the system designer or software tools and a UML 2.0 profile for view representation. In this paper, a case study where the proposed framework was applied is discussed, focusing on the features provided to the system designer using the UML 2.0 profile. The profile is implemented by extending the Rational Software Modeler functionality.