2009
DOI: 10.1007/978-3-642-10383-4_9
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Artifact-Centric Workflow Dominance

Abstract: Abstract. In this paper we initiate a study on comparing artifactcentric workflow schemas, in terms of the ability of one schema to emulate the possible behaviors of another schema. Artifact-centric workflows are centered around "business artifacts", which contain both a data schema, which can hold all of the data about a key business entity as it passes through a workflow, along with a lifecycle schema, which specifies the possible ways that the entity can evolve through the workflow. In this paper, the data … Show more

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Cited by 25 publications
(18 citation statements)
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“…For each considered variant, verification is generally undecidable; decidability results were obtained only under rather severe restrictions, e.g., restricting all pre-conditions to be "true" [28], restricting to bounded domains [29,9], or restricting the pre-and post-conditions to be propositional, and thus not referring to data values [29]. [16] adopts an artifact model variation with arithmetic operations but no database. It proposes a criterion for comparing the expressiveness of specifications using the notion of dominance, based on the input/output pairs of business processes.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…For each considered variant, verification is generally undecidable; decidability results were obtained only under rather severe restrictions, e.g., restricting all pre-conditions to be "true" [28], restricting to bounded domains [29,9], or restricting the pre-and post-conditions to be propositional, and thus not referring to data values [29]. [16] adopts an artifact model variation with arithmetic operations but no database. It proposes a criterion for comparing the expressiveness of specifications using the notion of dominance, based on the input/output pairs of business processes.…”
Section: Related Workmentioning
confidence: 99%
“…Process-centric formalisms focus on control flow while under-specifying the underlying data and its manipulations by the process tasks, often abstracting them away completely. In contrast, data-aware formalisms treat data as first-class citizens [37,30,19,16,40,1]. The holistic view of data and processes together promises to avoid the notorious discrepancy between data modeling and process modeling of more traditional approaches that consider these two aspects separately [9].…”
Section: Introductionmentioning
confidence: 99%
“…In other cases, knowing the workflow allows to statically analyze it and make sure that all declarative lifecycle constraints are respected at all times [13,20,25,[27][28][29]. For example, Gonzalez et al symbolically represent GSM-based business artifacts, in such a way that model checking can be done on the resulting model [30].…”
Section: Static Verificationmentioning
confidence: 99%
“…For example, [27] considers an artifact model with arithmetic operations, no database, and runs of bounded length. The approaches in [13,28] impose that domains of data elements be bounded, or that pre-and postconditions refer only to the artifacts, and not their variable values [28].…”
Section: Static Verificationmentioning
confidence: 99%
“…Verification for such models is considered in [23,24,11,16,21]. The comparison of such systems is considered in [14] using the notion of dominance, which focuses on the input/output pairs of the workflows. Other models in the same spirit include the Vortex workflow framework [28,18,27], the OWL-S proposal [30,29] as well as some work on semantic Web services [33].…”
Section: Related Workmentioning
confidence: 99%