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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
07 Apr 2008
TL;DR: This work uses UML 2 activity diagrams to model business processes and proposes and classified solutions based on the origins of variability at business process level, which is recognized as a key part of developing enterprise information systems.
Abstract: Variability management is a major concern in successful exploitation of variabilities and commonalities of software product families which also affects different aspects of development activities Modeling variabilities among products of a family is a key aspect of variability management discipline To use software product line approach in information systems context, it is necessary to bring in variability in different phases of the life cycle, including business process modeling which is recognized as a key part of developing enterprise information systems Consequently, modeling variability in business process models becomes an issue worthy of consideration We use UML 2 activity diagrams to model business processes Modeling solutions are proposed and classified based on the origins of variability at business process level We have also studied the ways to avoid cluttering the model when including variability An example case is utilized to clarify different aspects of our proposed method

84 citations

DOI
01 Jan 1996
TL;DR: A selection of photos from the 2016/17 USGS report on quantitative hazard assessments of earthquake-triggered landsliding and liquefaction at the USGS Deepwater Horizon disaster.
Abstract: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

84 citations

Proceedings ArticleDOI
01 Dec 1993
TL;DR: A model which characterizes a work organization in terms of the network of dependencies among organizational actors, which constitutes the intentional structure of the organization is presented.
Abstract: In developing information systems for use in an organization, one often needs to understand the reasons that underlie established work patterns and practices. Because organizational actors depend on each other for goals to be achieved, tasks to be performed, and resources to be furnished, reasons for work patterns can be revealed by examining the dependencies among actors. We present a model which characterizes a work organization in terms of the network of dependencies among organizational actors. Actor dependencies are taken to be intentional – they expand or restrict an actor’s ability to pursue goals. The network of actor dependencies constitutes the intentional structure of the organization. We use examples from business process reengineering to motivate and illustrate the model.

84 citations

Book ChapterDOI
24 Nov 2002
TL;DR: In this paper, a logistic regression model is used to discover the direct connections between events of a realistic not complete workflow log with noise, which contains information about the process as it is actually being executed.
Abstract: Workflow management technology requires the existence of explicit process models, i.e. a completely specified workflow design needs to be developed in order to enact a given workflow process. Such a workflow design is time consuming and often subjective and incomplete. We propose a learning method that uses the workflow log, which contains information about the process as it is actually being executed. In our method we will use a logistic regression model to discover the direct connections between events of a realistic not complete workflow log with noise. Experimental results are used to show the usefulness and limitations of the presented method.

84 citations

Book ChapterDOI
01 Jan 2000
TL;DR: This paper reviews exception handling from the perspective of large business processes that involve several, possibly heterogeneous and distributed information systems and provides methodological guidelines for analyzing exceptional behavior and designing special constructs within the process model that support useful exceptions.
Abstract: Exceptions have always been a major source of complexity and limitation in business process automation. In this paper we review exception handling from the perspective of large business processes that involve several, possibly heterogeneous and distributed information systems. The aim is to capture behavior which represents deviations from the normal process, but still can be anticipated, and handled accordingly. These exceptions are useful and a key to effective and flexible processes. Using workflow techniques as instruments of business process modeling, we provide methodological guidelines for analyzing exceptional behavior and designing special constructs within the process model that support useful exceptions.

84 citations


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