Dynamic change within workflow systems
COCS '95 Proceedings of conference on Organizational computing systems
Adept_flex—Supporting Dynamic Changes of Workflows Without Losing Control
Journal of Intelligent Information Systems - Special issue on workflow management systems
Tolerating Deviations in Process Support Systems via Flexible Enactment of Process Models
IEEE Transactions on Software Engineering
ML-DEWS: Modeling Language to Support Dynamic Evolution within Workflow Systems
Computer Supported Cooperative Work
Software Process Model Evolution in the SPADE Environment
IEEE Transactions on Software Engineering
ER '96 Proceedings of the 15th International Conference on Conceptual Modeling
ICATPN '97 Proceedings of the 18th International Conference on Application and Theory of Petri Nets
Anticipatory Alignment Mechanisms for Behavioral Learning in Multi Agent Systems
Anticipatory Behavior in Adaptive Learning Systems
Agent Behavior Alignment: A Mechanism to Overcome Problems in Agent Interactions During Runtime
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
iTasks for a change: type-safe run-time change in dynamically evolving workflows
Proceedings of the 20th ACM SIGPLAN workshop on Partial evaluation and program manipulation
Efficient change management in long-term composed services
Service Oriented Computing and Applications
Dynamic workflow modeling and verification
CAiSE'06 Proceedings of the 18th international conference on Advanced Information Systems Engineering
A collaborative framework for unexpected exception handling
CRIWG'05 Proceedings of the 11th international conference on Groupware: design, Implementation, and Use
A Petri net model for changing units of learning in runtime
Knowledge-Based Systems
An end-user approach to business process modeling
Journal of Network and Computer Applications
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Organizations that are geared for success within today's business environments must be capable of rapid and continuous change. This business reality is boosting the popularity of various types of workflow systems. However, current workflow systems are not yet capable of facing the ever-changing nature of their business environment. Part of the answer to the challenge, in our view, lies in change understanding, communication, implementation, and analysis. In this chapter, we present an overview of our work on modeling dynamic change within workflow systems. This work was recently completed by the introduction of ML-DEWS, a Modeling Language to support Dynamic Evolution within Workflow Systems. We firmly believe the thesis put forth in this chapter that a change is a process that can be modeled, enacted, analyzed, simulated and monitored as any process.