• Home
• Conference ▼
  • Call for papers
  • Important dates
  • Submission guidelines
  • Committees
  • EDOC Series
  • Registration
  • Camera Ready instructions
• Program ▼
  • EDOC Program at a glance
  • Week schedule
  • Keynote speakers
  • Accepted papers
  • Doctoral Consortium program
  • SMRPM program
  • SoEA4EE program
  • TEAR program
• Workshops, Demos & Doctoral consortium ▼
  • Call for workshop proposals
  • Accepted workshops
  • Call for Demonstrations
  • Doctoral Consortium Call for Papers
  • Camera Ready instructions for workshops, demos and doctoral consortium
• Venue ▼
  • About Paris
  • Conference Location
  • Conference Reception
  • Conference Dinner
  • Accommodation
• Contacts

EDOC 2019 will be complemented by several workshops. These workshops are meant to facilitate the exchange of ideas and experiences between active researchers and practitioners as well as to stimulate discussions on new and emerging issues in line with the conference topics. Workshops may concentrate in-depth on research topics, or may also be devoted to application and/or standardization issues.

EDOC 2019 is glad to be the host of four high-quality satellite workshops:

• Strategic Modeling and Reasoning meets Process Mining Workshop (SMRPM)
• Intelligent Regulatory Systems (IRS)
• Service-oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE)
• Trends in Enterprise Architecture Research (TEAR)

 DEADLINE FOR ALL WORKSHOPS : July 25th, 2019 (for SoEA4EE, July 21st)

 You will find below a short description of these workshops. For more information, please refer to each workshop’s individual website.

Strategic Modeling and Reasoning meets Process Mining Workshop  (SMRPM)

Chairs: Evellin Cardoso, Free University of Bolzano, Italy
Chiara Ghidini, Istituto per la Ricerca Scientifica e Tecnologica (IRST), Trento, Italy
Marco Montali, Free University of Bolzano, Italy

Abstract: Strategic modeling and reasoning have its roots in the field of software engineering with the use of “goals” as the core abstraction for capturing stakeholders’ requirements for a target software system. Quantitative and qualitative reasoning techniques have been developed to assess the level of satisfaction of goals depending on alternative designs of the software architecture or to recommend particular software architecture designs. The successful application of goal models in software engineering inspired the incorporation of goals and strategic-related notions in a number of enterprise architectures frameworks, such as ArchiMate, BIM, SIENA, etc. Similarly to software engineering, enterprise architectures explore the interplay between enterprise architecture designs and business goals by either generating a target enterprise architecture from enterprise goals and strategy or by aligning an already existing enterprise architecture. More specifically, decision makers usually consider different dimensions to promote a successful alignment between the enterprise architecture and their driving strategies. First, which processes need to be executed and which enterprise resources need to be used to realize a particular strategy and business goals. Second, which regulations and legislative requirements constrain the process execution towards achieving enterprise goals. Finally, which performance requirements impose certain demands on the process execution in order to deliver successful strategies. In terms of strategic reasoning in enterprise architectures, there is a scarcity of techniques for reasoning with the interplay between enterprise goals and business processes and the very few existent techniques refrain from using the data stemmed from process executions. 

Process mining is an increasing popular area both in industry and academia that combines model-based and data-oriented techniques to obtain insights from the execution of business processes using event logs. By means of process mining, decision makers can discover process models from event logs, compare the process models with the executed behaviour in order to evaluate the reality against the model and enrich process models with information acquired from their execution.

Service-oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE)

Chairs: Selmin Nurcan, University Paris 1 Panthéon Sorbonne
Rainer Schmidt, Munich University of Applied Sciences

Abstract: Enterprise Engineering (EE) is the application of engineering principles to the design of Enterprise Architectures. It enables deriving the Enterprise Architecture from the enterprise goals and strategy and aligning it with the enterprise resources. Enterprise architecture is used to map the enterprise goal and strategy to the enterprise’s resources (actors, assets, IT supports) and to support the evolution of this mapping. It also provides documentation on the assignment of enterprise resources to the enterprise goals and strategy. There are different paradigms for creating enterprise architecture. The most important is to encapsulate the functionalities of IT resources as services. By this means, it is possible to clearly describe the contributions of IT both in terms of functionality and quality and to define a service-oriented enterprise architecture (SoEA).

The goal of the workshop is to develop concepts and methods to assist the engineering and the management of service-oriented enterprise architectures (SoEA) and the software systems supporting them.

Trends in Enterprise Architecture Research (TEAR)

Chairs: Ulrike Steffens, HAW Hamburg, Germany
Jürgen Jung, Frankfurt University of Applied Sciences

Abstract:  The field of Enterprise Architecture (EA) has gained considerable attention over the last of years. EA is important because organisations need to adapt increasingly fast to changing customer requirements and business goals. This need influences the entire chain of activities of an enterprise, from business processes to IT support. Moreover, a change in a particular part of the overall architecture may influence many other parts of the architecture. For example, when a new product is introduced, business processes for production, sales and after-sales need to be adapted. It might be necessary to change applications, or even adapt the IT infrastructure. Each of these fields will have its own (partial) architectures. To keep the enterprise architecture coherent and aligned with the business goals, the relations between these different architectures must be explicit, and a change should be carried through methodically in all architectures. In contrast to traditional architecture management approaches such as IT architecture, software architecture or IS architecture, EA explicitly incorporates “pure” business-related artifacts in addition to traditional IS/IT artifacts. For Enterprise Architecture the focus is on the overall enterprise and concerns its organization, its components, the relationship between components and principles governing its design and evolution.

Intelligent Regulatory Systems (IRS) CANCELLED

Chairs: Mustafa Hashmi, Data61, CSIRO and Federation University, Austalia
Ho-Pum Lam, Data61,CSIRO, Sydney, Australia

Abstract: Regulatory systems (RSs) span across a broad range of industries, activities and behaviors governing how businesses should be operated. It is increasingly large and can encompass or connect with other systems ranging from traditional software systems to social networks, clouds, cyber-physical and safety-critical systems. Apart from the intrinsic complexity of integrated systems, the variability and dynamicity of surrounding environments also make it extremely challenging to ensure the correctness of such systems.

Given many decades of research and development in RSs, various approaches and techniques have been developed and removed some of the barriers. However, less attention has been drawn to the analysis of system at runtime. Besides, the current practices also emphasis on the use of artificial intelligence (AI) to automate processes — through the addition of more contexts and analytics — in a more advanced and intelligent ways. The IRS workshop aims at raising the awareness of approaches that can be used in providing intelligent support to regulatory systems, including both functional and non-functional properties, before and after executions. It is intended to be a venue to researchers and practitioners who are interested in methods and techniques for runtime verification and compliance checking, quantitative analysis (e.g. prediction and optimization of temporal performance) and their applications in experimental and industrial settings. While EDOC conference solicits conceptual and pure applied research and industrial case studies covering a full range of systems, models, techniques and engineering technologies contributing to the success of intra/interenterprise systems, the topics covered by the IRS workshop will supplement the wider coverage of the topics relevant to enterprise systems that are subject to regulatory and legislative provisions, frameworks and standards.