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 


Call for Papers

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