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Process modeling

About: Process modeling is a research topic. Over the lifetime, 11639 publications have been published within this topic receiving 223996 citations. The topic is also known as: process simulation.


Papers
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Journal ArticleDOI
TL;DR: A novel framework based on aligning business ontologies for integrating heterogeneous business processes and it is found that alignment results are dependent on some characteristics of ontologies (e.g., depth and number of classes).
Abstract: Innovation and agility should be provided to businesses by efficient collaboration (i.e., communication and sharing) between them. However, semantic heterogeneity between business processes is a serious problem for automatically supporting cooperation processes (e.g., knowledge sharing and querying-based interactions) between businesses. In order to overcome this problem, we propose a novel framework based on aligning business ontologies for integrating heterogeneous business processes. We can consider two types of alignment processes; (i) manual alignment for building a whole business process ontology in a business process management (BPM) system and (ii) automated alignment between business processes of different BPM systems. Thereby, the optimal integration between two business processes has to be discovered to maximize the summation of a set of partial similarities between semantic components consisting of the business processes. In particular, the semantic component are extracted from semantic annotations of business processes. For evaluating the proposed system, we have conducted experimentations by using 22 business process management systems, which are organized as six business alliances. We have assumed that business processes in a same BPM system should be built with a common ontologies. The proposed alignment method has shown about 71.3% of precision (65.4% of recall). In addition, we found out that alignment results are dependent on some characteristics of ontologies (e.g., depth and number of classes).

79 citations

Patent
Rainer Hauser1, Shubir Kapoor1, Jana Koehler1, Santhosh Kumaran1, Frederick Y. Wu1 
05 Jun 2003
TL;DR: In this paper, a system and a transformation method based on typed information flows automatically transforms platform-independent business models into executable information technology (IT) architecture specifications constrained by a specific IT platform, and vice versa.
Abstract: A system and method that implements top-down and bottom-up model-driven transformations between platform-independent (business view) modeling approaches and platform-specific (IT architectural) models. On the business level, business view models may be expressed in, but not limited to ADF or UML2, whereas on the IT architecture side, service-oriented architectures with Web service interfaces and processes are specified in business process protocol languages including, but not limited to, BPEL4WS, or workflow definitions. An architecture and a transformation method based on typed information flows automatically transforms platform-independent business models into executable information technology (IT) architecture specifications constrained by a specific IT platform, and vice versa. The models generated span the entire life cycle of a software system and ease the software production, deployment and maintenance tasks. That is, the different models generated for the same system are “linked” in a way that relevant changes in one model may be propagated to the other models to keep the model set consistent.

79 citations

Journal ArticleDOI
TL;DR: iBPMN is introduced as novel interaction modeling language that fails to support fundamental design principles of choreographies and typically leads to modeling errors and motivates an alternative modeling style for overcoming these limitations.

79 citations

Proceedings ArticleDOI
Axel Martens1
29 Mar 2005
TL;DR: An approach to prove that an executable process model is consistent to the predefined abstract model is described, which is an attempt to prove this property automatically.
Abstract: Process models play an all-important role in the development of cross-organizational business processes. On the one hand, the interaction between the participating companies often is specified globally, for example by means of multiple abstract process models - one for each partner. On the other hand, each partner defines its local process autonomously in terms of an executable process model. The important question is whether such an executable model is consistent to the predefined abstract model. This paper describes an approach to prove this property automatically.

79 citations

Proceedings ArticleDOI
24 Jun 2019
TL;DR: This paper discovered sound directly follows-based process models from their logs, compared them with prescribed models and analysed the performance of these processes, and implemented these techniques in a new process mining tool and applied them to analyse several business processes in a Queensland Government department.
Abstract: Many organisations now seek to analyse and improve their processes using event logs from various IT systems supporting their operations. Process mining aims to obtain insights from such process data, using process discovery, conformance checking and performance measures. While many commercial process mining tools feature user-friendly directly follows-based process maps, they typically do not offer a way to assess the quality of the model, leaving users with potentially unreliable insights, which could lead to the wrong conclusion being drawn from these insights. In contrast, academic tools typically provide verifiable results, but are often difficult to use and understand for stakeholders, sometimes overgeneralising behaviour to fit more extensive process model formalisms. In this paper, we bridge this well-known gap between commercial and academic tools by combining sound process discovery, conformance checking and performance capabilities with user-friendly directly follows-based process models. We implemented these techniques in a new process mining tool and applied them to analyse several business processes in a Queensland Government department. We discovered sound directly follows-based process models from their logs, compared them with prescribed models and analysed the performance of these processes. In particular, our conformance checking techniques allowed to pinpoint deviations between prescribed processes and actual recorded behaviour. The outcomes of this case study are now being used to document, review, improve and automate processes.

79 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202359
2022184
2021254
2020327
2019368
2018395