2011 IEEE International Conference on Services Computing 2011
DOI: 10.1109/scc.2011.85
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Automated Attribute Inference in Complex Service Workflows Based on Sharing Analysis

Abstract: 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. We present an approach for mechanically inferring business domain-specific attributes of workflow components (including data items, activities, and elements of sub-workflows), taking as starting point known attributes of workflow input… Show more

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Cited by 5 publications
(9 citation statements)
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References 25 publications
(22 reference statements)
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“…3.2. We extend our earlier work on automatic attribute inference and fragment identification based on sharing [18,19].…”
Section: Fragmentationmentioning
confidence: 86%
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“…3.2. We extend our earlier work on automatic attribute inference and fragment identification based on sharing [18,19].…”
Section: Fragmentationmentioning
confidence: 86%
“…This paper builds on the previous publications by the authors that focused on fragmentation and attribute inference for service compositions [ 18,19]. In this paper we expand the approach by providing a common, logic-based foundation for both representing and reasoning about functional dependencies as well as data attributes in service compositions, with the goal of supporting adaptation.…”
Section: Related Workmentioning
confidence: 99%
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