Investigation of the Lack of Common Understanding in the Discipline of Enterprise Architecture : A Systematic Mapping Study

Saint-Louis, Patrick; Lapalme, James

doi:10.1109/edocw.2016.7584364

Cited by 11 publications

(7 citation statements)

References 30 publications

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“…Since it beginnings in the 1980's [4], EA has developed to an established discipline in industry and research [5], [6]. A widely accepted definition of the term architecture [7] is given in the ISO 42010:2011 [8], which defines architecture as the "fundamental concepts or properties of a system in its environment embodied in its elements, relationships, and in the principles of its design and evolution".…”

Section: Introductionmentioning

confidence: 99%

A Probabilistic Enterprise Architecture Model Evolution

Hacks

Lichter

2018

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)

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Enterprise Architecture (EA) is a widely accepted means to ease the alignment of IS projects with enterprisewide objectives. One central artifact of EA are EA models, which provide a holistic view on the organization and support EA's stakeholder to create added value. As EA collects its data from different sources, the data can be contradictory. This work contributes to existing research by proposing a novel approach to deal with contradictory data without solving the thereby caused conflicts. In order to achieve this objective, we refine the Predictive, Probabilistic Architecture Modeling Framework (P 2 AMF) introduced by Johnson et al., which already incorporates a way to represent uncertainty regarding the existence of modelled entities. To make our technique usable, we generalize P 2 AMF from its UML/OCL notation to a graph presentation in order to apply it to EA models notated in arbitrary notations like ArchiMate. Furthermore, we add alternative scenarios in different versions along a time series to meet the requirements of a distributed EA evolution. To show the applicability of our approach, we developed a proof of concept prototype by implementing the proposed calculations and guidelines on a Neo4j graph database. Last, we argue that our approach meets the stated requirements of a distributed EA evolution.

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Section: Introductionmentioning

confidence: 99%

A Probabilistic Enterprise Architecture Model Evolution

Hacks

Lichter

2018

2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)

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“…Similarly, the EA community has already started to address this situation in scientific ways. 1,5,7,10,67,68 But to date, it is clear that the studies that have prioritized addressing the problematic related to the existence of various perspectives in EA do not seem to be commonly accepted yet. A meta-analysis of this problematic must continue to be conducted.…”

Section: Discussionmentioning

confidence: 99%

“…Few works have been conducted with the aim to shed light on the lack of uniformity in EA, 7 whereas the literature continues to report this lack. The following works are among those that have addressed this problematic as their main focus.…”

Section: Related Workmentioning

confidence: 99%

Examination of explicit definitions of enterprise architecture

Saint-Louis

Morency

Lapalme

2019

International Journal of Engineering Business Management

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Various understandings of enterprise architecture (EA) exist and there is no agreement on them. The various definitions of EA are not always complementary but sometimes in opposition. Within this study, we conduct a systematic literature review to analyze explicit definitions of EA. Based on concepts from the academic field of terminology, we have broken down these definitions into many parts in order to examine each part individually before making generalizations. The findings show how some of the EA definitions are implicit, incomplete, complex, and incoherent.

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“…The EA concept itself is often characterized ambiguously as highlighted in [13] where the challenges of a lack of common understanding of EA definitions and related factors are detailed. In line with their work on EA in the government sector to gain a better e-government service delivery, the SLR in [14] reports on EA readiness measurement mechanisms and EA readiness measurement factors that could assist government agencies in measuring their EA readiness.…”

Section: Related Workmentioning

confidence: 99%

Enterprise Architecture Measurement: An Extended Systematic Mapping Study

Abdallah¹,

Abran²

2019

IJITCS

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A systematic mapping study (SMS) of proposed EA measurement solutions was undertaken to provide an in-depth understanding of the claimed achievements and limitations in evidence-based research of enterprise architecture (EA). This SMS reports on 22 primary studies on EA measurement solutions published up to the end of 2018. The primary studies were analyzed thematically and classified according to ten (10) mapping questions including, but not limited to, positioning of EA measurement solutions within EA schools of thought, analysis of consistency-inconsistency of the terms used by authors in EA measurement research, and an analysis of the references to the ISO 15939 measurement information model. Some key findings reveal that the current research on EA measurement solutions is focused on the-enterprise IT architecting‖ school of thought, does not use rigorous terminology as found in science and engineering, and shows limited adoption of knowledge from other disciplines. The paper concludes with new perspectives for future research avenues in EA measurement.

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Investigation of the Lack of Common Understanding in the Discipline of Enterprise Architecture : A Systematic Mapping Study

Cited by 11 publications

References 30 publications

A Probabilistic Enterprise Architecture Model Evolution

A Probabilistic Enterprise Architecture Model Evolution

Examination of explicit definitions of enterprise architecture

Enterprise Architecture Measurement: An Extended Systematic Mapping Study

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