Traditional business workflows are activity-centric, i.e., they focus mostly on specifying the control-flow aspect of business processes. The data aspect, although equally relevant, is attached to the control-flow later, as a second rate citizen, making the actual document sharing and exchange much less transparent and harder to verify. In this paper we introduce the notion of a data footprint, a directed graph representing the flow of some (user-specified) data elements, abstracting, as much as possible, from all the other aspects. We show how data footprints can be obtained automatically and efficiently from every activity-centric workflow that includes some conceptual data information. We also show how a footprint can be used to discover...
Abstract. We describe a new approach to workflow analysis, which combines a rich graph representatio...
The growing adoption of IT-systems for modeling and executing (business) processes or services has t...
Workflow systems seek to provide an implementation vehicle for complex, recurring business processes...
Traditional business workflows are activity-centric, i.e., they focus mostly on specifying the contr...
Despite the abundance of analysis techniques to discover control-flow errors in workflow designs, th...
Data-centric workflows focus on how the data is transferred between processes and how it is logicall...
Workflow correctness properties are usually defined based on one workflow perspective only, e.g. the...
Workflow technology has become a standard solution for managing increasingly complex business proces...
Abstract. Workflow correctness properties are usually defined based on one workflow perspective only...
A complete workflow specification requires careful integration of many different process characteris...
The paper introduces and specifies a formalism that provides complete representations of dataflow pr...
In workflow management, the data flow perspective specifies how data are produced and consumed by ac...
Realistic, relevant, and reproducible experiments often need input traces collected from real-world ...
The proper composition of activities is important for the efficient execution of a workflow process....
Abstract. We describe a new approach to workflow analysis, which combines a rich graph representatio...
The growing adoption of IT-systems for modeling and executing (business) processes or services has t...
Workflow systems seek to provide an implementation vehicle for complex, recurring business processes...
Traditional business workflows are activity-centric, i.e., they focus mostly on specifying the contr...
Despite the abundance of analysis techniques to discover control-flow errors in workflow designs, th...
Data-centric workflows focus on how the data is transferred between processes and how it is logicall...
Workflow correctness properties are usually defined based on one workflow perspective only, e.g. the...
Workflow technology has become a standard solution for managing increasingly complex business proces...
Abstract. Workflow correctness properties are usually defined based on one workflow perspective only...
A complete workflow specification requires careful integration of many different process characteris...
The paper introduces and specifies a formalism that provides complete representations of dataflow pr...
In workflow management, the data flow perspective specifies how data are produced and consumed by ac...
Realistic, relevant, and reproducible experiments often need input traces collected from real-world ...
The proper composition of activities is important for the efficient execution of a workflow process....
Abstract. We describe a new approach to workflow analysis, which combines a rich graph representatio...
The growing adoption of IT-systems for modeling and executing (business) processes or services has t...
Workflow systems seek to provide an implementation vehicle for complex, recurring business processes...