The 16th Workshop on Service oriented Enterprise Architecture for Enterprise Engineering
SoEA4EE Workshop
For engineering service-oriented enterprises in the era of cloud computing could EA notations be a lingua franca?
in conjunction with the EDOC conference since 2009
September 9, 2024
Paper submission deadline: July 1st, 2024
Picture: CC BY-SA 3.0
Thomas Wolf, www.foto-tw.de, CC BY-SA 3.0 DE <https://creativecommons.org/licenses/by-sa/3.0/de/deed.en>, via Wikimedia Commons
On Service-Oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE)
Enterprise Engineering (EE) is the application of engineering principles to the design of Enterprise Architectures (EA). It enables deriving the Enterprise Architecture from the enterprise goals and strategy, and aligning it with the enterprise resources in the Computing Continuum. Enterprise architecture maps the enterprise goal and strategy to the enterprise’s resources (actors, assets, IT supports) and supports the evolution of this mapping. It also provides documentation on the assignment of enterprise resources to the enterprise goals and strategy, e.g., for establishing new business models such as platforms.
The SoEA4EE workshop focuses on the paradigm of encapsulating digital resources and capacities as services for enterprise architecture.
Goal of SoEA4EE
The workshop aims to develop concepts and methods to assist the engineering and management of service-oriented enterprise architectures (SoEA) and the software systems supporting them in the Computing Continuum.
Topics for Discussion
During the workshop we will discuss the following topics:
1. Digital enterprises, Industry 4.0 and Platforms in the Computing Continuum
New trends in digitization for EA and EE e.g. Industry 4.0, platforms
Impacts of digitized products on EA
EA - contributions and challenges for digital transformation, Industry 4.0, and platforms
Fitting SoEA with cloud, edge, fog computing
Pervasive service ecosystems
Context awareness and service orientation in ubiquitous computing
2. SoEA and influence of Artificial Intelligence, social information systems, and big data in Enterprise Engineering
Trends in SoEA to use the capabilities of Artificial Intelligence, social information systems and big data (volume, variety, velocity, veracity)
Impacts of Artificial Intelligence, social information systems, and big data on the SoEA
Use of ChatGPT, etc. as component of Enterprise Architecture
Generative AI as tool in Enterprise Engineering
3. Alignment of the enterprise goals and strategy with the SoEA
Interdependencies between services and business goals
Concepts and methods to align services with the business strategy
New potentials and trends created by services to reengineer business processes
Quality issues and non-functional requirements for SoEA
Coherence of services with compliance requirements (among others, GDPR, ISO/IEC 27001 and 27002, ISO 15408)
4. Design of SoEA
Specifications of business, software, platform, and infrastructure services
Matching business services with business processes
Lifecycle of business, software, platform, and infrastructure services
Data-driven monitoring of the fulfilment of non-functional requirements (big data, IoT, …)
Benchmarks and key performance indicators for services
Approaches the continual improvement of services
5. Governance of SoEA
Impacts of SoEA on the compliance and governance requirements
Meta-services for business, software, platform, and infrastructure services
Building service (value) nets - consisting of business, software, platform and infrastructure services
Meta-services for cloud-environments
Impacts of VUCA (Volatility, Uncertainty, Complexity, Ambiguity) on the governance of EA