Database transaction models for advanced applications
Database transaction models for advanced applications
DYNAMITE: dynamic task nets for software process management
Proceedings of the 18th international conference on Software engineering
Adept_flex—Supporting Dynamic Changes of Workflows Without Losing Control
Journal of Intelligent Information Systems - Special issue on workflow management systems
Production workflow: concepts and techniques
Production workflow: concepts and techniques
On the automatic generation of workflow processes based on product structures
Computers in Industry
Atomicity and isolation for transactional processes
ACM Transactions on Database Systems (TODS)
Distributed and Parallel Databases
Automatic Replanning of Task Networks for Process Model Evolution in EPOS
ESEC '93 Proceedings of the 4th European Software Engineering Conference on Software Engineering
Formal Foundation and Conceptual Design of Dynamic Adaptations in a Workflow Management System
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 7 - Volume 7
Flexible Support of Team Processes by Adaptive Workflow Systems
Distributed and Parallel Databases
Correctness criteria for dynamic changes in workflow systems: a survey
Data & Knowledge Engineering - Special issue: Advances in business process management
AGENT WORK: a workflow system supporting rule-based workflow adaptation
Data & Knowledge Engineering
Process Aware Information Systems: Bridging People and Software Through Process Technology
Process Aware Information Systems: Bridging People and Software Through Process Technology
Adaptive Process Management with ADEPT2
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Case handling: a new paradigm for business process support
Data & Knowledge Engineering
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
A New Paradigm for the Enactment and Dynamic Adaptation of Data-Driven Process Structures
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Flexibility in Process-Aware Information Systems
Transactions on Petri Nets and Other Models of Concurrency II
On managing business processes variants
Data & Knowledge Engineering
On the discovery of preferred work practice through business process variants
ER'07 Proceedings of the 26th international conference on Conceptual modeling
Data-driven modeling and coordination of large process structures
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Infusing agility in business processes through an event-centric approach
International Journal of Business Information Systems
A framework proposal for intelligent management of unexpected exceptions in workflow
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
On Utilizing Web Service Equivalence for Supporting the Composition Life Cycle
International Journal of Web Services Research
Information and Software Technology
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Business processes are often characterized by high variability and dynamics, which cannot be always captured in contemporary process management systems (PMS). Adaptive PMS have emerged in recent years, but do not completely solve this problem. In particular, users are not adequately supported in dealing with real–world exceptions. Exception handling usually requires manual interactions and necessary process adaptations have to be defined at the control flow level. Altogether, only experienced users are able to cope with these tasks. As an alternative, changes on process data (elements) can be more easily accomplished, and a more data–driven view on (adaptive) PMS can help to bridge the gap between real–world processes and computerized ones. In this paper we present an approach for data–driven process control allowing for the automated expansion and adaptation of task nets during runtime. By integrating and exploiting context information this approach further enables automated exception handling at a high level and in a user–friendly way. Altogether, the presented work provides an added value to current adaptive PMS.