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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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Proceedings ArticleDOI
19 Jul 2005
TL;DR: This work introduces a categorization for the classification of modeling languages and approaches used to model collaborative business processes and shows how the classification facilitates the development of methodologies for collaborativeBusiness process modeling.
Abstract: Business process modeling (BPM) is one of the key factors in defining service-oriented solutions for business collaborations. Like in traditional software engineering there is a need for adaptable methodologies to develop information and communication technology (ICT) systems supporting collaborative business processes. In this work we introduce a categorization for the classification of modeling languages and approaches used to model collaborative business processes. Considering an example, we show how the classification of modeling languages and approaches facilitates the development of methodologies for collaborative business processes.

58 citations

Proceedings ArticleDOI
01 Dec 2006
TL;DR: There is lack of consensus on RCM process and it has not been described in sufficient detail for use of requirements engineers in the real world, according to a survey.
Abstract: Modern software-intensive systems are developed in a world where only constant thing is change. This results in continuously changing requirements. Failure to manage these changing requirements properly may result in failure of system. To manage these requirements, many requirements change management (RCM) process model has been proposed in the literature. Process models facilitate human understating and communication, support process improvement and process management. Coverage of process elements like activities, artifacts and roles has an affect on process model and its usage. This paper reports the current requirements change management process models in the literature on the basis of activities, artifacts and roles. Our survey highlights that there is lack of consensus on RCM process and it has not been described in sufficient detail for use of requirements engineers in the real world.

58 citations

Proceedings ArticleDOI
13 Dec 2012
TL;DR: It is argued that existing process mining methods fail to identify good process models, even for well-defined clinical processes, and a number of reasons for this shortcoming are identified.
Abstract: With the increasing demand for health care, hospitals are looking for ways to optimize their care processes in order to increase efficiency, while guaranteeing the quality of the care. Process modeling is a crucial step for process improvement, since it provides a process model that can be analyzed and optimized. Process mining is a recent promising methodology to discover process models based on data from event logs. However, early applications of process mining to health care has produced overly complex models, which have been attributed to the complexity of the health care domain. In this paper, we argue that existing process mining methods fail to identify good process models, even for well-defined clinical processes. We identify a number of reasons for this shortcoming and discuss a few directions for extending process mining methods in order to make them more suitable for the clinical domain.

58 citations

Journal ArticleDOI
TL;DR: The proposed framework is independent of any existing formalism, and provides a conceptually rich and exhaustive ontology and semantics of norms needed for business process compliance checking, and can be used to compare different compliance management frameworks (CMFs).
Abstract: By definition, regulatory rules (in legal context called norms) intend to achieve specific behaviour from business processes, and might be relevant to the whole or part of a business process. They can impose conditions on different aspects of process models, e.g., control-flow, data and resources etc. Based on the rules sets, norms can be classified into various classes and sub-classes according to their effects. This paper presents an abstract framework consisting of a list of norms and a generic compliance checking approach on the idea of (possible) execution of processes. The proposed framework is independent of any existing formalism, and provides a conceptually rich and exhaustive ontology and semantics of norms needed for business process compliance checking. Apart from the other uses, the proposed framework can be used to compare different compliance management frameworks (CMFs).

58 citations

Proceedings ArticleDOI
03 Jan 2007
TL;DR: A survey of the most promising specifications at both levels of B2B e-commerce and discusses how individual specifications on different levels fit together - starting from business models via business processes to artifacts ready for deployment.
Abstract: In recent years business-to-business (B2B) e-commerce has been subject to major rethinking. A paradigm shift from document centric file-based interchange of business information to process-centric and service-based information exchange can be observed. On a business level, a lot of work has been done to capture business models and collaborative business processes of an enterprise. On a technical level, the focus in software development is moving towards service-oriented architectures (SOA). These transitions on both levels promise a market entry at lower costs and an easier adjustment to changing market conditions. Hence, an overwhelming quantity of specifications and approaches emerged in the past targeting the area of B2B - these are partly competing and overlapping. In this paper, we provide a survey of the most promising ones at both levels and classify them using the open-edi reference model standardized by ISO. Furthermore, we discuss how individual specifications on different levels fit together - starting from business models via business processes to artifacts ready for deployment

58 citations


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