Evaluating Information Systems Constructing a Model Processing Framework

Abstract

In the past decade, the rush to technology has created several flaws in terms of managing computers, applications, and middleware and information systems. Therefore, organizations struggle to understand how these elements behave. Even today, as Enterprise Architectures grow in significance and are acknowledged as advantageous artifacts to help manage change, their benefit to the organization has yet to be fully explored. In this paper, the authors focus on the challenge of real-time information systems evaluation, using the enterprise architecture as a boundary object and a base for communication. The solution proposed is comprised of five major steps: establishing a strong conceptual base on the evaluation of information systems, defining a high level language for this activity, extending an architecture creation pipeline, creating a framework that automates it, and the framework’s implementation. The conceptual framework proposed avoids imprecise definitions of quality and quality attributes, was materialized in a model-eval-display loop framework, and was implemented using Model Driven Software Development practices and tools. Finally, a prototype is applied to a real-world scenario to verify the conceptual solution in practice.

An Effectiveness Model for Enterprise Architecture Methodologies

“…EAIM covers all aspects of the EA lifecycle -the planning for enterprise understanding projects, the analysis of business requirements, the design of systems, the evolution of systems, and the ongoing enhancements of all of the aforementioned aspects (Aier & Saat, 2011). The methodology is both complete and concise, serving as a coherent guide for practitioner professionals (Duarte & Vasconcelos, 2010). It allows paths and pieces of content to be selected and extracted for application on specific projects (Ahlemann, 2012).…”

Knowledge creation and the concept of a human being: A phenomenological approach

“…Hermeneutics and phenomenology have been explored and discussed in LIS in relation to the foundations of the discipline (Budd, 2001a, 2001b, , 2011a; Capurro, ; Cornelius, ; Hoel, ; Suominen, ; Wilson, 2002a; see also Day, ; Hansson, ; Hjørland, , ; Jones, ). Hermeneutics and phenomenology are seen as philosophies that explain the interpretative nature of the phenomenon studied in a conceptual manner (see Hansson, ), but they are also used when developing, for example, technological solutions to issues related to LIS (Boydens & van Hooland, ; Duarte & Vasconcelos, ; Epperson & Zemel, ; Fonseca & Martin, ). The interest in phenomenology and hermeneutics is gradually increasing in the field of KM (see, e.g., Küpers, ; Larsen, ; Tsoukas, ; Värlander, ; White, ; Yanow & Tsoukas, ).…”