%0 Journal Article
%T Enterprise Architecture: A Comparative Analysis of Validation Semantics and Heterogeneous Model Frameworks
%A Joe Essien
%J Open Journal of Business and Management
%P 1971-1995
%@ 2329-3292
%D 2023
%I Scientific Research Publishing
%R 10.4236/ojbm.2023.115109
%X <span style=\"font-size:10.0pt;font-family:&quot;\">The advancement of Enterprise Architecture modelling
techniques and the need to incorporate these models with other Information
Systems collaborations require a methodology that ensures the consistency and
compatibility of diverse models with shared business objectives. The fulfillment
of this requirement is impeded by a notable obstacle, which is the growing
intricacy of <span>Enterprise Architecture
Framework modelling tools and methodologies. Many</span> organisations that
have adopted a variety of methodologies face the difficulty of integrating
models because of the existence of inconsistent and diverse modelling artefacts
within an unreliable framework, which requires validation. The primary aim of
this article is to conduct a comprehensive analysis of the existing
methodologies for validating enterprise architecture and propose a new approach
that focuses specifically on validating models. This research combines the
Systematic Review research approach and meta-analysis research method to
provide a systematic and comprehensive review and analysis of multiple studies
and combining findings from these studies to synthesize evidence and draw
definitive conclusions. The comparative analysis explores validation semantics
and heterogeneous model frameworks and delves into different approaches used to
validate models in the context of heterogeneous model integration. The study
examines the strengths and weaknesses of various validation methods and
frameworks for heterogeneous models, considering factors like accuracy,
efficiency and scalability. By comparing different validation semantics and
heterogeneous model frameworks, the analysis provides valuable insights into
selecting appropriate techniques for effectively integrating and validating
diverse models in complex systems.</span>
%K Enterprise Architecture
%K Ontologies
%K Business Process Management
%K Validation
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=127152