@article {Daoudi2022505,
	title = {Adaptive Enterprise Architecture: Complexity Metrics in a Mixed Evaluation Method},
	journal = {Lecture Notes in Business Information Processing},
	volume = {455 LNBIP},
	year = {2022},
	note = {cited By 0},
	pages = {505-523},
	abstract = {Classically, enterprises future is intertwined with the needs and demands of society. Nowadays, in addition to those two elements, challenges are becoming more and more numerous and unavoidable. Saying a few, global warming, social responsibilities, Covid 19, digital transformation{\textellipsis} We are living in a new era that is highly volatile and unpredictable. We don{\textquoteright}t have anymore the privilege to choose threats and opportunities that we want to adapt to. In fact adaptation becomes a necessity to survive in this highly competitive and dynamic environment. Factors coming from those challenges externally on top of internal ones can impact various parts of the enterprise in the form of changes. Thus, Adaptive Enterprise Architecture (EA) is leveraged to assist the continuous adaptation to the evolving transformation. On the other hand, one of the criteria of Adaptive EA is the ability to monitor and control the complexity of changes. In this paper, we suggest a mixed approach of EA complexity measurement based on quantitative and qualitative analysis. First, we begin with a recap of the criteria shaping our Adaptive Enterprise Architecture approach and we give an overview of the model that we worked on in previous work. Then we investigate related work about complexity and subjective measurement. Finally, we describe our mixed approach of assessment of complexity and we focus on the calculation of some objective and subjective metrics. {\textcopyright} 2022, Springer Nature Switzerland AG.},
	keywords = {Adaptation, Adaptive enterprise, Complexity, Complexity measurement, Complexity metrics, Dynamic environments, enterprise architecture, Evaluation methods, Global warming, Memory architecture, Mixed approach, Social responsibilities},
	doi = {10.1007/978-3-031-08965-7_26},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135013677\&doi=10.1007\%2f978-3-031-08965-7_26\&partnerID=40\&md5=0f86e1df30e1a710a67e90c0238de8f1},
	author = {Daoudi, W. and Doumi, K. and Kjiri, L.}
}
@conference {Daoudi2021759,
	title = {Complexity and Adaptive Enterprise Architecture},
	booktitle = {International Conference on Enterprise Information Systems, ICEIS - Proceedings},
	volume = {2},
	year = {2021},
	note = {cited By 1},
	pages = {759-767},
	abstract = {In the current VUCA (Volatility, uncertainty, complexity and ambiguity) environment, enterprises are facing constant threats and opportunities due to internal and external factors. Those factors can impact various parts of the enterprise in the form of changes. Thus, Adaptive Enterprise Architecture (EA) is leveraged to assist the continuous adaptation to the evolving transformation. On the other hand, the complexity has been identified as one of the major challenges of the discipline of Enterprise Architecture. Moreover, one of the criteria of Adaptive EA is the ability to monitor and control the complexity of changes. Consequently, in this paper, we suggest a conceptualization of EA complexity measurement drilled down into factors and indicators. First, we begin with a brief summary of the criteria that we consider compulsory for Adaptive Enterprise Architecture and we give an overview of the model that we worked on in previous work. Then we investigate related work about complexity in a broader view. Finally, we describe our approach of assessment of complexity based on the proposed indicators. Copyright {\textcopyright} 2021 by SCITEPRESS - Science and Technology Publications, Lda.},
	keywords = {{\textquoteright}current, Adaptation, Adaptive enterprise, Complexity, Dynamic environments, enterprise architecture, Enterprise IS, Information systems, Information use, Internal and external factors, Monitor and control, Volatility uncertainties},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135024780\&partnerID=40\&md5=2aaf626491ca37f943bcb904a81c8e4f},
	author = {Daoudi, W. and Doumi, K. and Kjiri, L.}
}
@conference {Daoudi2020,
	title = {Adaptive Enterprise Architecture: Towards a model},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2020},
	note = {cited By 0},
	abstract = {Nowadays, enterprises are facing many changes due to digital transformation. So, they have to deal with new requirements that impact various parts of their Enterprise Architecture. To address the needs created by this new digital era, agility and adaptation are compulsory. Though Enterprise Architecture (EA) was designed as a catalyst for change management, traditional Enterprise Architecture approaches do not rely on well-defined concepts, lack agility and are constrained by layered architecture (business layer, functional layer, deployment layer, etc.). Thus, a new generation of EA, allowing continuous self-improvement and proactive adaptation to better match the new conditions, is required. In this paper, we highlighted some criteria, regarding the adaptation of EA and exploited them to show the limitations of the EA approaches analyzed. Then, we presented agile methods principles and discussed the mapping between them and the criteria that we proposed before. Finally, we proposed a simplified model based on Scrum for adaptive enterprise architecture. {\textcopyright} 2020 ACM.},
	keywords = {Adaptive enterprise, Change management, Digital transformation, enterprise architecture, Functional layer, Information systems, Information use, Layered architecture, Model-based OPC, Proactive adaptations},
	doi = {10.1145/3447568.3448539},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103625235\&doi=10.1145\%2f3447568.3448539\&partnerID=40\&md5=4f7441d9a2cb09a9ffc18c39755d4958},
	author = {Daoudi, W. and Doumi, K. and Kjiri, L.}
}
@conference {Daoudi2020738,
	title = {An approach for adaptive enterprise architecture},
	booktitle = {ICEIS 2020 - Proceedings of the 22nd International Conference on Enterprise Information Systems},
	volume = {2},
	year = {2020},
	note = {cited By 4},
	pages = {738-745},
	abstract = {Given the fast emergence of new technologies and the highly changing business demands, enterprises are confronted with the need to keep up with the evolving transformation. This one is subject to internal and external factors which make it very often in the form of disruptive changes. As a consequence, various parts of companies{\textquoteright} Enterprise Architecture are impacted. To address the new requirements of these increasingly dynamic environments, enterprises need to transition from heavy and document-centred Enterprise Architecture Frameworks to more agile and continuously adaptive approaches. On the other hand, Agile Software Development (ASD) are commonly used methods for IT development. They are mainly characterized by the high involvement of the requester and the rapid accommodation to development needs. This paper presents an Adaptive Enterprise Architecture model that is inspired from some ASD values. Thus, we begin with a brief summary of the criteria that we consider compulsory for Adaptive Enterprise Architecture. Then we present the related work and the connection between agile values and our criteria. Finally, we describe our model and illustrate it via a case study. Copyright {\textcopyright} 2020 by SCITEPRESS {\textendash} Science and Technology Publications, Lda. All rights reserved},
	keywords = {Adaptive approach, Adaptive enterprise, Agile manufacturing systems, Agile software development, Business demands, Development needs, Dynamic environments, enterprise architecture, Information systems, Information use, Internal and external factors, Software design},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091394601\&partnerID=40\&md5=47480aba028e3e923b145c862859135c},
	author = {Daoudi, W. and Doumi, K. and Kjiri, L.}
}
