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Memorias de investigación
Communications at congresses:
Automated Attribute Inference in Complex Service Workflows Based on Sharing Analysis
Year:2011
Research Areas
  • Programming language
Information
Abstract
The properties of data and activities in business processes can be used to greatly facilitate several relevant tasks performed at design-and run-time, such as fragmentation, compliance checking, or top-down design. Business processes are often described using workflows, and we present an approach to mechanically infer business domain-specific attributes of workflow components, including data items, activities, and elements of sub-workflows, from known attributes of workflow inputs and the structure of the workflow by modeling these components as concepts and applying sharing analysis applied to a Horn clause representation of the workflow. The analysis is applicable to workflows featuring complex control and data dependencies, embedded control constructs, such as loops and branches, and embedded component services.
International
No
Congress
2011 IEEE International Conference on Services Computing
960
Place
Washington
Reviewers
Si
ISBN/ISSN
978-0-7695-4462-5
10.1109/SCC.2011.85
Start Date
04/07/2011
End Date
09/07/2011
From page
120
To page
127
Proceeding SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
Participants
  • Autor: Manuel Carro Liñares (UPM)
  • Autor: Manuel de Hermenegildo Salinas (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Computación lógica, Lenguajes, Implementación y Paralelismo (CLIP)
  • Departamento: Inteligencia Artificial
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