Correctness ensuring process configuration: an approach based on partner synthesis
BPM'10 Proceedings of the 8th international conference on Business process management
Configurable multi-perspective business process models
Information Systems
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
Survey paper: Refactoring large process model repositories
Computers in Industry
A model-checking tool for families of services
FMOODS'11/FORTE'11 Proceedings of the joint 13th IFIP WG 6.1 and 30th IFIP WG 6.1 international conference on Formal techniques for distributed systems
Validation of families of business processes
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
An automation support for creating configurable process models
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Design and management of flexible process variants using templates and rules
Computers in Industry
Ensuring correctness during process configuration via partner synthesis
Information Systems
Configurable process models for the swedish public sector
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Validation of user intentions in process models
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Business Process Model Merging: An Approach to Business Process Consolidation
ACM Transactions on Software Engineering and Methodology (TOSEM)
Journal of Database Management
Modeling and validation of business process families
Information Systems
Configuring business process models
ACM SIGSOFT Software Engineering Notes
Version management for business process schema evolution
Information Systems
Hi-index | 0.00 |
A configurable process model captures a family of related process models in a single artifact. Such models are intended to be configured to fit the requirements of specific organizations or projects, leading to individualized process models that are subsequently used for domain analysis or solution design. This article proposes a formal foundation for individualizing configurable process models incrementally, while preserving correctness, both with respect to syntax and behavioral semantics. Specifically, assuming the configurable process model is behaviorally sound, the individualized process models are guaranteed to be sound. The theory is first developed in the context of Petri nets and then extended to a process modeling notation widely used in practice, namely Event-driven Process Chains.