9 research outputs found

    Using agent oriented technology on developing an effective enterprise architecture implementation methodology

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    Enterprise Architecture (EA) is a holistic view of an enterprise, including the business, Information Technology, and infrastructure. EA is managed, developed, and maintained through Enterprise Architecture Implementation Methodology (EAIM). There are complexities in current EAIM's method, practice, and modelling, which cause the ineffectiveness of EA implementation. The objective of this study is to present the current problems of existing EAIMs and highlight the application of Agent Oriented Technology (AOT) on developing an effective EAIM, which can address the ineffectiveness of EA implementation. Several Agent-Oriented Methodologies (AOM) have been proposed in literature for developing an application and they have potentials in their modelling methods, practices, and development phases, which can contribute on developing an effective EAIM. This contribution can effect on improvement of EA implementation by reducing the complexity of EA implementation, increasing the alignment between business and IT, providing appropriate requirement analysis for developing, and reducing impedance mismatches between different development phases. This research opens new topics in AOT and EA domain, which would follow by other researcher and extend the usage of AOT in IT and Information Systems

    An effectiveness model for enterprise architecture methodologies

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    Enterprise Architecture (EA) is employed by enterprises for providing integrated environment to support thealignment of enterprise’s business and Information Technology (IT). EA Implementation Methodology (EAIM)provides methods for managing, developing, and maintaining EA implementation. Several EAIMs have beenproposed in literature; however effectiveness of EAIM has mostly been anecdotal, and research on this subjectis still scant in the academic circles. This research is a survey study on the factors that affect the effectivenessof EAIM using quantitative approach. This study aims to explore the factors that affect the effectiveness ofEAIM and proposed the effectiveness model for EAIMs. The exploratory factor analysis highlights a specificset of five factors: alignment, adaptiveness, support, binding, and innovation. The regression analysis showsthat there is a statistically significant and positive relationship between each of the five factors and the ef-fectiveness of EAIM. The findings contribute to the measurement of the EA implementation’s effectiveness byproviding an indication of the measurement implementation approaches which is used by the EA practitioners.Moreover, the proposed model can be used on developing an effective EAIM

    Issues limiting the evaluation of post implemented enterprise architecture

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    Evaluation in enterprise architecture (EA) project is crucial to provide comprehensive information of the developed EA artefacts. It may assist in accurate evaluation of implemented Information Systems (ISs) in order to realize the achievement of EA’s goals and support EA decision makers. This research aims to identify and elaborate the existing issues of EA evaluation models. One of the crucial identified issues is to understand, capture and represent core aspects of EA artefacts. Most existing evaluation models do not provide structured approach which cover comprehensive aspect of EA implementation and some do not provide good practices to be applied. Hence, this research intends to cover the gap by exploring critical issues in EA implementation evaluation and elaborating main shortcomings of the reviewed EA models and methods through a systematic literature review. Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved

    Critical success factor model for enterprise architecture implementation

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    Enterprise Architecture (EA) is a strategy to attain alignment between an enterprise's business and Information Technology (IT) to increase the competitiveness of an enterprise. In EA implementation, Critical Success Factors (CSFs) refer to factors that may facilitate the successful implementation of the EA. This research presents a CSF model based on an exhaustive literature review and empirical data from practitioners to identify rationalised CSFs. EA implementation projects that do not fully utilize the CSFs may result in inappropriate directions and dissatisfied EA project stakeholders. A quantitative research methodology is applied in this study using questionnaires to evaluate the proposed model. The respondents include enterprise architects, IT managers, and IT consultants with considerable knowledge of EA concepts. Statistical analysis is used to identify the relationships between the proposed CSFs and the success of EA implementation. From the results, the proposed CSF model is significantly related to EA implementation success. The highest-ranking CSF is governance, indicating the importance of governance in the success of EA implementation. Moreover, the proposed CSF model appears to facilitate achieving the desired architecture. By understanding the CSF model at the onset of a project, practitioners can better plan and focus on the CSFs to achieve the desired results. © 2003, Faculty of Computer Science & Information Technology, University of Malaya

    A systematic literature review on Enterprise Architecture Implementation Methodologies

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    Enterprise Architecture (EA) is a strategy to align business and Information Technology (IT) within an enterprise. EA is managed, developed, and maintained throughout the EA Implementation Methodology (EAIM). Objective: The aims of this study are to identify the existing effective practices that are used by existing EAIMs, identify the factors that affect the effectiveness of EAIM, identify the current tools that are used by existing EAIMs, and identify the open problems and areas related to EAIM for improvement. Method: A Systematic Literature Review (SLR) was carried out. 669 papers were retrieved by a manual search in 6 databases and 46 primary studies were finally included. Result: From these studies 33% were journal articles, 41% were conference papers while 26% were contributions from the studies consisted of book chapters. Consequently, 28 practices, 19 factors, and 15 tools were identified and analysed. Conclusion: Several rigorous researches have been done in order to provide effective EAIM, however there are still problems in components of EAIM, including: there is lack of tool support for whole part of EA implementation, there are deficiency in addressing the EAIM's practices especially in modeling, management, and maintenance, there is lack of consideration on non-functional requirement in existing EAIM, there is no appropriate consideration on requirement analysis in most existing EAIM. This review provides researchers with some guidelines for future research on this topic. It also provides broad information on EAIM, which could be useful for practitioners

    An empirical study into model testability

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    Testability modeling has been performed for many years. Unfortunately, the modeling of a design for testability is often performed after the design is complete. This limits the functional use of the testability model to determining what level of test coverage is available in the design. This information may be useful to help assess whether a product meets a requirement to achieve a desired level of test coverage, but has little pro-active effect on making the design more testable. This paper investigates and presents a number of approaches for tackling this problem. Approaches are surveyed, achievements and main issues of each approach are considered. Investigation of that classification will help researchers who are working on model testability to deliver more applicable solutions

    A framework for evaluation of enterprise architecture implementation methodologies

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    Enterprise Architecture (EA) Implementation Methodologies have become an important part of EA projects. Several implementation methodologies have been proposed, as a theoretical and practical approach, to facilitate and support the development of EA within an enterprise. A significant question when facing the starting of EA implementation is deciding which methodology to utilize. In order to answer this question, a framework with several criteria is applied in this paper for the comparative analysis of existing EA implementation methodologies. Five EA implementation methodologies including: EAP, TOGAF, DODAF, Gartner, and FEA are selected in order to compare with proposed framework. The results of the comparison indicate that those methodologies have not reached a sufficient maturity as whole due to lack of consideration on requirement management, maintenance, continuum, and complexities in their process. The framework has also ability for the evaluation of any kind of EA implementation methodologies
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