SAP R/3 business blueprint: understanding the business process reference model
SAP R/3 business blueprint: understanding the business process reference model
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Automating the Discovery of As-Is Business Process Models: Probabilistic and Algorithmic Approaches
Information Systems Research
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Process Aware Information Systems: Bridging People and Software Through Process Technology
Process Aware Information Systems: Bridging People and Software Through Process Technology
A configurable reference modelling language
Information Systems
Business process mining: An industrial application
Information Systems
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
Conformance checking of processes based on monitoring real behavior
Information Systems
Detection and prediction of errors in EPCs of the SAP reference model
Data & Knowledge Engineering
Conformance checking of service behavior
ACM Transactions on Internet Technology (TOIT)
Deriving Protocol Models from Imperfect Service Conversation Logs
IEEE Transactions on Knowledge and Data Engineering
Configurable Process Models: Experiences from a Municipality Case Study
CAiSE '09 Proceedings of the 21st International Conference on Advanced Information Systems Engineering
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Discovering Reference Models by Mining Process Variants Using a Heuristic Approach
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Modern Business Process Automation: YAWL and its Support Environment
Modern Business Process Automation: YAWL and its Support Environment
SAP webflow made configurable: unifying workflow templates into a configurable model
BPM'07 Proceedings of the 5th international conference on Business process management
Fuzzy mining: adaptive process simplification based on multi-perspective metrics
BPM'07 Proceedings of the 5th international conference on Business process management
Preserving correctness during business process model configuration
Formal Aspects of Computing
Correctness ensuring process configuration: an approach based on partner synthesis
BPM'10 Proceedings of the 8th international conference on Business process management
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Using mapreduce to scale events correlation discovery for business processes mining
BPM'12 Proceedings of the 10th international conference on Business Process Management
Cross-organizational collaborative workflow mining from a multi-source log
Decision Support Systems
Challenges in service mining: record, check, discover
ICWE'13 Proceedings of the 13th international conference on Web Engineering
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The Software as a Service (SaaS) paradigm is particularly interesting in situations where many organizations need to support similar processes. For example, municipalities, courts, rental agencies, etc. all need to support highly similar processes. However, despite these similarities, there is also the need to allow for local variations in a controlled manner. Therefore, cloud infrastructures should provide configurable services such that products and processes can be customized while sharing commonalities. Configurable and executable process models are essential for realizing such infrastructures. This will finally transform reference models from "paper tigers" (reference modeling à la SAP, ARIS, etc.) into an "executable reality". Moreover, "configurable services in the cloud" enable cross-organizational process mining. This way, organizations can learn from each other and improve their processes.