Adept_flex—Supporting Dynamic Changes of Workflows Without Losing Control
Journal of Intelligent Information Systems - Special issue on workflow management systems
A Component-Based Workflow System with Dynamic Modifications
NGIT '99 Proceedings of the 4th International Workshop on Next Generation Information Technologies and Systems
Optimization Techniques for Data-Intensive Decision Flows
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Event-based Distributed Workflow Execution with EVE
Event-based Distributed Workflow Execution with EVE
Requester-centered composition of business processes from internal and external services
Data & Knowledge Engineering - Special issue: Collaborative business process technologies
An interactive service customization model
Information and Software Technology
A survey of comparative business process modeling approaches
BIS'07 Proceedings of the 10th international conference on Business information systems
On nondeterministic workflow executions
WS-FM'10 Proceedings of the 7th international conference on Web services and formal methods
Web process dynamic stepped extension: Pi-calculus-based model and inference experiments
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
Integrating semantic business policy into web service composition
ICSOC'06 Proceedings of the 4th international conference on Service-oriented computing
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With the proliferation of the Internet and the wide acceptance of e-commerce, increasing numbers of business processes and services are offered by distributed and heterogeneous service providers. This has created the need to explicitly employ workflow management systems (WFMS) to coordinate and control the flows of services. One of the fundamental assumptions of existing WFMS is that workflow schemas are predefined. Such an assumption becomes impractical for dynamic business processes that must be altered and composed on the fly to meet changing business conditions. PLMflow proposes a dynamic workflow system that is capable of supporting non-deterministic processes such as those found in collaborative product design scenarios, where decisions made by collaborative partners necessitate the dynamic composition and modification of running workflows. Instead of building complex static workflows to accommodate an explosive number of possibilities, we advocate a business rule inference based system to dynamically generate and execute workflows. As a result, end users can focus on the business goals to be achieved, instead of having to create detailed control and data flows for the work at hand.