2011
DOI: 10.1007/978-3-642-21640-4_39
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Pattern-Based Modeling and Formalizing of Business Process Quality Constraints

Abstract: The quality of business processes can be checked by verifying their compliance with specific quality constraints. These constraints represent a set of required temporal and logical relationships between different steps of business processes. Quality constraints are usually formulated as informal texts, which makes them difficult to be verified, when business processes become complex. One way to solve this problem is by automating the verification of quality constraints on business processes by applying model c… Show more

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Cited by 10 publications
(10 citation statements)
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“…The QoS offered by IT is one of the most important factors for the business success and reputation [10]. The functional performance of an IT service depends on a number of NFPs, and its implementation may be viewed as a competitive factor for organizations.…”
Section: Business Level Agreement and Non-functional Properties mentioning
confidence: 99%
See 3 more Smart Citations
“…The QoS offered by IT is one of the most important factors for the business success and reputation [10]. The functional performance of an IT service depends on a number of NFPs, and its implementation may be viewed as a competitive factor for organizations.…”
Section: Business Level Agreement and Non-functional Properties mentioning
confidence: 99%
“…Khaluf, Gerth and Engels [10] introduced a model of quality constraints in processes using Activity Diagrams of UML 2.0. A new language for modeling quality constraints was defined, based on the Computation Tree Logic standards, which distributes time in tree branches.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…BPMN-Q is then mapped into Past LTL (PLTL) and a modelchecking approach is utilized. Similarly, Extended Process Pattern Specification Language (EPPSL) is proposed in [20] focusing on quality constraints.…”
Section: Graphical/pattern-based Approachesmentioning
confidence: 99%