Assessing Capability Complexity Using Enterprise Architecture Framework

ABSTRACT This study proposes a structured and quantitative methodology to evaluate the holistic complexity of system‐of‐systems (SoSs), employing the Zachman Architecture Framework (ZAF) as its foundational analytical tool. A five‐phase analytical procedure is developed and empirically validated, encompassing: (1) refinement of complexity measures, (2) weightings assignment, (3) quantification of overall complexity, (4) integration of stakeholder viewpoints, and (5) model validation. Each stage of the methodology is designed to equip operational analysts, strategists, and policymakers with a rigorous, repeatable, and adaptable analytical framework. The proposed framework facilitates a deeper and more systematic understanding of the multidimensional complexity inherent within SoS architectures, producing precise and actionable assessment outputs. These assessments are vital for supporting informed decision‐making processes—particularly those related to the evolution of SoS architectures through the addition of new assets or the decommissioning of legacy components—thereby enabling stakeholders to navigate complex system interactions with greater clarity, precision, and confidence.

Authors

Institutions

Publication Details

Journal
Systems Engineering
Published
2026-02-02
DOI
https://doi.org/10.1002/sys.70039
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Capability Complexity Using Enterprise Architecture Framework

Javad Bakhshi, Mahmoud Efatmaneshnik
Systems Engineering
Systems Engineering Methodologies and Applications
article

Assessing Capability Complexity Using Enterprise Architecture Framework

Javad Bakhshi, Mahmoud Efatmaneshnik
article en

Abstract

ABSTRACT This study proposes a structured and quantitative methodology to evaluate the holistic complexity of system‐of‐systems (SoSs), employing the Zachman Architecture Framework (ZAF) as its foundational analytical tool. A five‐phase analytical procedure is developed and empirically validated, encompassing: (1) refinement of complexity measures, (2) weightings assignment, (3) quantification of overall complexity, (4) integration of stakeholder viewpoints, and (5) model validation. Each stage of the methodology is designed to equip operational analysts, strategists, and policymakers with a rigorous, repeatable, and adaptable analytical framework. The proposed framework facilitates a deeper and more systematic understanding of the multidimensional complexity inherent within SoS architectures, producing precise and actionable assessment outputs. These assessments are vital for supporting informed decision‐making processes—particularly those related to the evolution of SoS architectures through the addition of new assets or the decommissioning of legacy components—thereby enabling stakeholders to navigate complex system interactions with greater clarity, precision, and confidence.

Systems Engineering
University of South Australia (AU), University of Wollongong (AU)
Openalex Percentile: Top 70%
Systems Engineering Methodologies and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.