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Business Process Model and Notation

About: Business Process Model and Notation is a research topic. Over the lifetime, 9038 publications have been published within this topic receiving 190712 citations. The topic is also known as: Business Process Modeling Notation & BPMN.


Papers
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Proceedings ArticleDOI
01 Nov 2010
TL;DR: This paper addresses a gap in terms of validation for metrics regarding understandability and modifiability in business process models and demonstrates the predictive power of these metrics.
Abstract: The quality of business process models is an increasing concern as enterprise-wide modelling initiatives have to rely heavily on non-expert modellers. Quality in this context can be directly related to the actual usage of these process models, in particular to their understandability and modifiability. Since these attributes of a model can only be assessed a posteriori, it is of central importance for quality management to identify significant predictors for them. A variety of structural metrics have recently been proposed, which are tailored to approximate these usage characteristics. In this paper, we address a gap in terms of validation for metrics regarding understandability and modifiability. Our results demonstrate the predictive power of these metrics. These findings have strong implications for the design of modelling guidelines.

56 citations

Proceedings ArticleDOI
01 Jun 2009
TL;DR: This paper harnesses knowledge representation and reasoning techniques so that business process workflows can be exposed and shared through semantic descriptions; refer to semantically annotated data and services; incorporate heterogeneous data though semantic mappings; and be queried using a reasoner or inference engine.
Abstract: In this paper we describe the Business Process Modelling Ontology (BPMO), which is part of an approach to modelling business processes at the semantic level, integrating knowledge about the organisational context, workflow activities and Semantic Web Services. We harness knowledge representation and reasoning techniques so that business process workflows can: be exposed and shared through semantic descriptions; refer to semantically annotated data and services; incorporate heterogeneous data though semantic mappings; and be queried using a reasoner or inference engine. In this paper we describe our approach and evaluate BPMO through a use case.

56 citations

Journal ArticleDOI
TL;DR: An effective modeling of the cataract intervention is possible using the combination of BPM and ACM, which gives the possibility to depict complex processes with complex decisions and allows a significant advantage for modeling perioperative processes.
Abstract: Medical processes can be modeled using different methods and notations Currently used modeling systems like Business Process Model and Notation (BPMN) are not capable of describing the highly flexible and variable medical processes in sufficient detail We combined two modeling systems, Business Process Management (BPM) and Adaptive Case Management (ACM), to be able to model non-deterministic medical processes We used the new Standards Case Management Model and Notation (CMMN) and Decision Management Notation (DMN) First, we explain how CMMN, DMN and BPMN could be used to model non-deterministic medical processes We applied this methodology to model 79 cataract operations provided by University Hospital Leipzig, Germany, and four cataract operations provided by University Eye Hospital Tuebingen, Germany Our model consists of 85 tasks and about 20 decisions in BPMN We were able to expand the system with more complex situations that might appear during an intervention An effective modeling of the cataract intervention is possible using the combination of BPM and ACM The combination gives the possibility to depict complex processes with complex decisions This combination allows a significant advantage for modeling perioperative processes

55 citations

Journal ArticleDOI
TL;DR: Two well-known life-cycle models have been mapped to the ABB Gate Model, a business decision model for product development projects that was developed to ensure that released products could be successfully deployed into the marketplace.
Abstract: Developing the right products the right way is challenging, not least in software product development. It requires sound business decisions as well as good engineering practices. Various software development life-cycle models can be mapped to business decision models by mapping business decision gates and major development milestones. Two well-known life-cycle models have been mapped to the ABB Gate Model, a business decision model for product development projects that was developed to ensure that released products could be successfully deployed into the marketplace.

55 citations

Proceedings ArticleDOI
15 Oct 2007
TL;DR: No single language is internally complete with respect to the Bunge-Wand-Weber representation model and that a combination of two languages, viz.
Abstract: Process modeling and rule modeling languages are both used to document organizational policies and procedures. However, little work has been done to understand their synergies and overlap. Understanding the relationship between the two modeling types would allow organizations to maximize synergies and reduce their modeling effort. In this paper we use the well-established Bunge-Wand-Weber (BWW) representation theory to compare the representation capabilities of both types of languages. We perform a representational analysis of two rule modeling languages, viz., SRML and SBVR. We compare their representation capabilities with those of four popular conceptual business process modeling languages, and focus on the aspects of maximum ontological completeness and minimum ontological overlap. The outcome of this study shows that no single language is internally complete with respect to the BWW representation model and that a combination of two languages, viz. SRML and BPMN, is better suited for process modeling than any single modeling language.

55 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202383
2022208
2021122
2020164
2019211
2018242