Querying business process models with VMQL

Störrle, Harald; Acretoaie, Vlad

doi:10.1145/2492437.2492441

Cited by 10 publications

(5 citation statements)

References 24 publications

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“…Two query languages [57,58] that focus on pattern-based graph matching techniques are proposed. Other relevant work include: semantic querying of process structural characteristics [59], a querying technique used for BPMN process models annotated with crosscutting concerns [60], a visual model query artifact [61], and a descriptive language to query and change the structural aspect of process models [62]. ○ Behavioral querying focuses on behaviors induced by activity models.…”

Section: Literature Analysis and Evaluationmentioning

confidence: 99%

Process querying: Enabling business intelligence through query-based process analytics

Polyvyanyy

Ouyang

Barros

et al. 2017

Decision Support Systems

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The volume of process-related data is growing rapidly: more and more business operations are being supported and monitored by information systems. Industry 4.0 and the corresponding industrial Internet of Things are about to generate new waves of process-related data, next to the abundance of event data already present in enterprise systems. However, organizations often fail to convert such data into strategic and tactical intelligence. This is due to the lack of dedicated technologies that are tailored to effectively manage the information on processes encoded in process models and process execution records. Process-related information is a core organizational asset which requires dedicated analytics to unlock its full potential. This paper proposes a framework for devising process querying methods, i.e., techniques for the (automated) management of repositories of designed and executed processes, as well as models that describe relationships between processes. The framework is composed of generic components that can be configured to create a range of process querying methods. The motivation for the framework stems from use cases in the field of Business Process Management. The design of the framework is informed by and validated via a systematic literature review. The framework structures the state of the art and points to gaps in existing research. Process querying methods need to address these gaps to better support strategic decision-making and provide the next generation of Business Intelligence platforms.

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Section: Literature Analysis and Evaluationmentioning

confidence: 99%

Process querying: Enabling business intelligence through query-based process analytics

Polyvyanyy

Ouyang

Barros

et al. 2017

Decision Support Systems

View full text Add to dashboard Cite

show abstract

“…Like VMTL, VMQL has also been experimentally evaluated. It has been shown to offer superior usability compared to OCL, the de-facto standard model querying language, when querying UML models [46] and BPMN models [48].…”

Section: Support For End-user Modelersmentioning

confidence: 99%

VMTL: a language for end-user model transformation

2016

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“…Extensions for other modelling languages exist as well (e.g., for BPMN [71]). The language allows for visually modelling a query in the same way a model is developed.…”

Section: Comparison Of Gmql To Existing Model Query Languagesmentioning

confidence: 99%