Leveraging BPMN models for validating novel approaches and tools is a common practice among researchers in the BPM field. To ensure the results validation accuracy of the such research activities, it is important to have an in-depth understanding of the sample models’ features. This mitigates the avoidance of any biased factors that could potentially impact the validation process. In this work, we present BPMN Inspector, a web application designed to streamline the inspection process of BPMN models. The inspection process effectively distinguishes various model types (i.e. collaboration, choreography, and conversation) while eliminating the need for manual effort in identifying duplicate models, validity issues, and non-English models. In addition, BPMN Inspector provides detailed insights into the collection of models by investigating the usage of BPMN notation elements, their combinations, syntactic violations of the standard and the adherence to established good modeling practices.

BPMN Inspector: A Tool for Extracting Features from BPMN Models

Compagnucci I.
Primo
;
Corradini F.
Secondo
;
Fornari F.
Penultimo
;
Re B.
Ultimo
2023-01-01

Abstract

Leveraging BPMN models for validating novel approaches and tools is a common practice among researchers in the BPM field. To ensure the results validation accuracy of the such research activities, it is important to have an in-depth understanding of the sample models’ features. This mitigates the avoidance of any biased factors that could potentially impact the validation process. In this work, we present BPMN Inspector, a web application designed to streamline the inspection process of BPMN models. The inspection process effectively distinguishes various model types (i.e. collaboration, choreography, and conversation) while eliminating the need for manual effort in identifying duplicate models, validity issues, and non-English models. In addition, BPMN Inspector provides detailed insights into the collection of models by investigating the usage of BPMN notation elements, their combinations, syntactic violations of the standard and the adherence to established good modeling practices.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/480583
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