A Systematic Literature Review on Enterprise Architecture Visualization Methodologies

Zhou, Zhengshu; Zhi, Qiang; Morisaki, Shuji; Yamamoto, Shuichiro

doi:10.1109/access.2020.2995850

Cited by 28 publications

(18 citation statements)

References 117 publications

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“…Most EA studies mention their limitations, such as the scope of application, lack of empirical evaluations, lack of completeness, unclear semantics, complexity, cost, etc. Those fragmented methods were analyzed and summarized in our previous work [1]. Now, based on that work, this paper introduces a generic method using ArchiMate to model EAs based on EA scenarios.…”

Section: A Generic Ea Modeling Approachmentioning

confidence: 99%

Empirically Modeling Enterprise Architecture Using ArchiMate

Zhi¹,

Zhou²

2022

Computer Systems Science and Engineering

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Enterprise Architecture (EA) has evolved based on the practice of information systems architecture design and implementation. EA is a rigorous description of a structure, and the objectives of EA modeling not only include clarifying corporate strategies, visualizing business processes, and modeling information systems to manage resources but also include improving organizational structures, adjusting information strategies, and creating new business value. Therefore, EA models cover a wide scope that includes both IT and business architectures. Typically, EA modeling is the initial and most important analysis step for researchers, architects, and developers. ArchiMate is the dominant modeling language for EA and it has been shown to improve visualization of EA models. However, few studies have systematically introduced general modeling methods using ArchiMate to meet a broad range of needs and few studies have empirically evaluated the modeling method using ArchiMate. This paper introduces an EA visualization approach to fill that gap and conducts a case study on a wilderness weather station system. Strict controlled experiments are conducted to verify the effectiveness and feasibility of this modeling method, and the experimental results show that this modeling procedure is not only feasible, but also can effectively transform the system metamodel and restore the EA scene.

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Section: A Generic Ea Modeling Approachmentioning

confidence: 99%

Empirically Modeling Enterprise Architecture Using ArchiMate

Zhi¹,

Zhou²

2022

Computer Systems Science and Engineering

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“…When considering enterprise architecture, the main emphasis is on business processes. To model enterprise architecture, available languages include ArchiMate, UML, Business Motivation Model (BMM), and BPMN, among others [38]. The major focus of UML is objects or components.…”

Section: B Traditional View Modelingmentioning

confidence: 99%

Microservice Architecture Reconstruction and Visualization Techniques: A Review

Černý¹,

Abdelfattah²,

Bushong³

et al. 2022

Preprint

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Microservice system solutions are now mainstream. The older microservices-based systems are not more than 15 years old, and their architecture is by far different than the one originally designed because of several changes applied to the systems due to the implementation of new features and bug fixing. The evolution of these legacy systems is therefore subjected to degradation. One of the most important methods to identify degradation is being able to reconstruct the software architecture of a system based on the current system running in production. Different methods have been proposed in the past: methods based on the static analysis of the source code of the microservices and methods based on the analysis of the log traces collected at runtime. Both static and dynamic analysisbased methods have their pros ad cons. In this work, we review the existing technologies for static and dynamic architectural reconstruction and related tools adopted to visualize the reconstructed architecture. The result of this work can be useful both to practitioners and researchers that can further develop these methods to provide better support for architectural degradation.

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“…Zhou et al [30] sought common visualizations for enterprise architectures. The most common directions are Archi-Mate, UML, Business Motivation Model (BMM), and BPMN, among others.…”

Section: B Architecture Visualizationmentioning

confidence: 99%

Microvision: Static analysis-based approach to visualizing microservices in augmented reality

Černý¹,

Abdelfattah²,

Bushong³

et al. 2022

Preprint

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Microservices are supporting digital transformation; however, fundamental tools and system perspectives are missing to better observe, understand, and manage these systems, their properties, and their dependencies. Microservices architecture leans toward decentralization, which yields many advantages to system operation; it, however, brings challenges to their development. Microservices lack a system-centric perspective to better cope with system evolution and quality assessment. In this work, we explore microservice-specific architecture reconstruction based on static analysis. Such reconstruction typically results in system models to visualize selected system-centric perspectives. Conventional models are limited in utility when the service cardinality is high. We consider an alternative data visualization using 3D space using augmented reality. To begin testing the feasibility of deriving such perspectives from microservice systems, we developed and implemented prototype tools for software architecture reconstruction and visualization of compared perspectives.

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A Systematic Literature Review on Enterprise Architecture Visualization Methodologies

Cited by 28 publications

References 117 publications

Empirically Modeling Enterprise Architecture Using ArchiMate

Empirically Modeling Enterprise Architecture Using ArchiMate

Microservice Architecture Reconstruction and Visualization Techniques: A Review

Microvision: Static analysis-based approach to visualizing microservices in augmented reality

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