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EVL-BP 2016 : 9th International Workshop on Evolutionary Business Processes


When Sep 5, 2016 - Sep 6, 2016
Where Vienna, Austria
Submission Deadline May 20, 2016
Notification Due Jun 13, 2016
Final Version Due Jul 1, 2016
Categories    business process   service-oriented architecture   evolution   variability

Call For Papers

9th International Workshop on
Evolutionary Business Processes (EVL-BP 2016)
in conjunction with the
20th IEEE EDOC Conference
5 - 9 September 2016, Vienna, Austria

Submission deadline 20 May 2016

The EVL-BP workshop series is devoted to evolution in business processes. Enterprises face the challenge of rapidly adapting to dynamic business environments. The traditional approach to process management is only partially appropriate to this new context, and calls for the advent of new, evolutionary business processes. This new approach attempts to address specific issues related to flexibility and adaptation such as design of easily adaptable processes, dynamic handling of unexpected situations, optimality of adaptations, and change management. Central to the field of evolutionary business processes is the notion of requirements, which drive the change of business processes through their life-cycles. The evolution of processes and their underlying software systems becomes more and more an important and interesting topic in business process management. Since the life time of software systems frequently spans many years, business processes modelled on top of systems cannot be assumed to remain fixed, and migration between different versions is essential. As a consequence, modelling and management techniques developed in the context of ad-hoc, short-term composition of services and their processes lack the necessary constructs to concisely express the gradual evolution of processes and software systems and new dynamic, declarative, and / or configurable approaches in this context are required.

The evolutionary approach to business processes raises a number of challenges: extracting declarative specifications from domain experts, expressing these declarative specifications in an appropriate language or formalism, as well as designing, monitoring, checking compliance, configuring, or dynamically adapting business processes according to a set of requirements, identification and systematic handling of changes, management of process versions, or quality attributes and measurement of business processes as predictors of evolutionary business processes. Evolution in business processes takes place in a wide number of domains, and is expected to impact existing and future technology choices, business practices and standardisation efforts. This workshop will be an opportunity for participants to exchange opinions, advance ideas, and discuss preliminary results on current topics related to dynamic and declarative business processes. A particular interest will be taken in bridging theoretical research and practical issues. To this end, contributions stating open problems, case studies, tool presentations, or any other work assessing the practical significance of dynamic and declarative business processes by means of concrete examples and situations, will be particularly welcome. Work in progress, position papers stating broad avenues of research, and work on formal foundations of dynamic and declarative business processes are also sought-after.

Suggested areas include, but are not limited to:
- Evolutionary business process modelling
- Dynamic business process specification
- Implementation issues for evolutionary processes
- Tools for evolutionary processes
- Methodologies for evolutionary processes
- Variability management in adaptable business processes
- Real-world use cases of evolutionary business processes
- Business rules and policies
- Rule driven business process engines
- Business + technical requirements for evolutionary processes
- Mathematical foundations of evolutionary business processes
- Formal models of dynamic business processes
- Monitoring of dynamic business processes
- Validation and model checking of dynamic business processes
- Software engineering methods, languages, and standards for dynamic business processes
- Service-oriented architectures and dynamic business processes
- Interoperability for dynamic business processes
- Semantic Web and ontologies and evolutionary business processes
- Collaboration and evolutionary business processes
- Data-driven process evolution
- Evolution of cross-organisational processes / process choreographies
- Complex event processing models / support for dynamic business processes

Important Dates
Paper submissions: May 20, 2016
Acceptance notifications: June 13, 2016
Camera-ready due: July 1, 2016

Submission Guidelines
All submissions will be peer reviewed by at least three members of the program committee. Submissions should be 8-10 pages long and must use the two-column format of IEEE conference proceedings and include the author’s name, affiliation, and contact details. Papers must be submitted as PDF files using EasyChair

EDOC 2016 Workshops Publication
Authors will be notified about the decision by the program committee. At least one author of each accepted paper must participate in the workshop. The papers accepted for the EDOC 2016 Workshops will be published with their own ISBN in the IEEE Digital Library (pending approval by IEEE), which is accessible by IEEE Xplore. At least one of the authors for each accepted paper should register for the main conference in order to present their papers. For any questions regarding this workshop please contact the chairs on

Workshop Co-chairs
Nick van Beest, Data61, Australia
Guido Governatori, Data61, Australia
Georg Grossmann, University of South Australia
Jens Kolb, Ulm University, Germany

Program Committee
Mohsen Asadi, Simon Fraser University
Ebrahim Bagheri, Ryerson University
Luciano Baresi DEIB, Politecnico di Milano
Antonio Bucchiarone, FBK-IRST
Alexander Lazovik, University of Groningen
Fabrizio Maggi, University of Tartu
Andrea Marrella, Università di Roma "La Sapienza"
Wolfgang Mayer, University of South Australia
Bardia Mohabbati, Simon Fraser University
Shin Nakajima, National Institute of Informatics
Leo Obrst, MITRE
Manuel Wimmer, Vienna University of Technology

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