Yasper: a tool for workflow modeling and analysis

Hee, Kees van; Oanea, Olivia; Post, R.; Somers, Lou; Werf, Jan Martijn E. M. van der

doi:10.1109/acsd.2006.37

Cited by 14 publications

(7 citation statements)

References 2 publications

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“…Starting from the source model shown in Figure 11, we generate our common language model in EARL, translate from EARL to CPNRL and SRML, and transform from CPNRL to two CPN tools: Yasper [10] and CPN Tools [11]. Additionally, a translator to Arena [12] is also part of the translator repertory.…”

Section: Transformation Between Different Levels Of Abstractionsmentioning

confidence: 99%

Collaboration support for executable enterprise architectures

Fernandes

Benjamin

et al. 2009

2009 International Symposium on Collaborative Technologies and Systems

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Enterprise architecture development is inherently collaborative in nature, where members of the model development team share different perspectives and facets of the enterprise or system. In this paper, we describe an approach by which the executable content of enterprise architectures can be extracted from core enterprise architectural modeling languages (e.g., IDEF, UML) and be extended to develop abstractions of various discrete simulation paradigms such as Colored Petri nets, Monte Carlo, and Discrete Event Simulation. We also describe the use of representation structures at various levels of abstraction to enable collaboration by members of the systems modeling and simulation team in order to perform numerous verification and validation checks of the system or system-of-systems that is being modeled. Use of various levels of enterprise architecture abstractions facilitates not only model reuse but also collaborative effort within a team of diverse skills ranging from domain expertise, enterprise modeling, abstract and concrete simulation modeling, and design of experiments.

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Section: Transformation Between Different Levels Of Abstractionsmentioning

confidence: 99%

Collaboration support for executable enterprise architectures

Fernandes

Benjamin

et al. 2009

2009 International Symposium on Collaborative Technologies and Systems

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show abstract

“…− Alternatively, Ref. [7] presented a tool of process analysis and simulation based upon the theory of Petri net modeling methodology, which is named Yasper [7] as a tool for modeling, analyzing, and simulating process models based on Petri nets. − The authors of [20] proposed a fully automatic method to simplify BPML (business process model and notation) process models and described a two-phase iterative algorithm to achieve this simplification, which follows a heuristic approach that makes intensive use of a pattern repository.…”

Section: Related Workmentioning

confidence: 99%

“…The purpose of this paper is to integrate the verification functionality (process analyzing) of the Buildtime subsystem with the rediscovery functionality (process mining) of the Miningtime subsystem, and through which the Buildtime subsystem is seamlessly charged with visual verification and structural analysis [6][7][8] of the process models rediscovered from their enactment event trace datasets by the Miningtime subsystem. In general, the process-aware enterprises' operational goal ought to be minimize the loss of effectiveness and the depreciation of efficiency in controlling the life-cycles of the deployed process models.…”

Section: Introductionmentioning

confidence: 99%

Functional Integration with Process Mining and Process Analyzing for Structural and Behavioral Properness Validation of Processes Discovered from Event Log Datasets

Kim

2020

Applied Sciences

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In this paper, we propose an integrated approach for seamlessly and effectively providing the mining and the analyzing functionalities to redesigning work for very large-scale and massively parallel process models that are discovered from their enactment event logs. The integrated approach especially aims at analyzing not only their structural complexity and correctness but also their animation-based behavioral properness, and becomes concretized to a sophisticated analyzer. The core function of the analyzer is to discover a very large-scale and massively parallel process model from a process log dataset and to validate the structural complexity and the syntactical and behavioral properness of the discovered process model. Finally, this paper writes up the detailed description of the system architecture with its functional integration of process mining and process analyzing. More precisely, we excogitate a series of functional algorithms for extracting the structural constructs and for visualizing the behavioral properness of those discovered very large-scale and massively parallel process models. As experimental validation, we apply the proposed approach and analyzer to a couple of process enactment event log datasets available on the website of the 4TU.Centre for Research Data.

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“…− Whereas [7] presented a tool of process analysis and simulation based upon the theory of Petri net modeling methodology, which is named as Yasper [7] as a tool for modeling, analyzing and simulating process models based on Petri nets.…”

Section: Related Workmentioning

confidence: 99%

“…The purpose of this paper is to integrate the verification functionality of the Buildtime subsystem that is exclusively charged for visual verification and structural analysis [6] [7] [8] of the process models rediscovered from their enactment event trace datasets by the Miningtime subsystem. That is, we are able to accomplish the enterprise-wide goal which is minimizing the loss of effectiveness and the depreciation of efficiency in controlling the life-cycles of processes.…”

Section: Introductionmentioning

confidence: 99%

Functional Integration with Process Mining and Process Analyzing for Structural and Behavioral Properness Validation of Discovered Processes from Event Log Datasets

Kim¹

2020

Preprint

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Process (or business process) management systems fulfill defining, executing, monitoring and managing process models deployed on process-aware enterprises. Accordingly, the functional formation of the systems is made up of three subsystems such as modeling subsystem, enacting subsystem and mining subsystem. In recent times, the mining subsystem has been becoming an essential subsystem. Many enterprises have successfully completed the introduction and application of the process automation technology through the modeling subsystem and the enacting subsystem. According as the time has come to the phase of redesigning and reengineering the deployed process models, from now on it is important for the mining subsystem to cooperate with the analyzing subsystem; the essential cooperation capability is to provide seamless integrations between the designing works with the modeling subsystem and the redesigning work with the mining subsystem. In other words, we need to seamlessly integrate the discovery functionality of the mining subsystem and the analyzing functionality of the modeling subsystem. This integrated approach might be suitable very well when those deployed process models discovered by the mining subsystem are complex and very large-scaled, in particular. In this paper, we propose an integrated approach for seamlessly as well as effectively providing the mining and the analyzing functionalities to the redesigning work on very large-scale and massively parallel process models that are discovered from their enactment event logs. The integrated approach especially aims at analyzing not only their structural complexity and correctness but also their animation-based behavioral properness, and becomes concretized to a sophisticated analyzer. The core function of the analyzer is to discover a very large-scale and massively parallel process model from a process log dataset and to validate the structural complexity and the syntactical and behavioral properness of the discovered process model. Finally, this paper writes up the detailed description of the system architecture with its functional integration of process mining and process analyzing. And more precisely, we excogitate a series of functional algorithms for extracting the structural constructs as well as for visualizing the behavioral properness on those discovered very large-scale and massively parallel process models. As experimental validation, we apply the proposed approach and analyzer to a couple of process enactment event log datasets available on the website of the 4TU.Centre for Research Data.

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Yasper: a tool for workflow modeling and analysis

Cited by 14 publications

References 2 publications

Collaboration support for executable enterprise architectures

Collaboration support for executable enterprise architectures

Functional Integration with Process Mining and Process Analyzing for Structural and Behavioral Properness Validation of Processes Discovered from Event Log Datasets

Functional Integration with Process Mining and Process Analyzing for Structural and Behavioral Properness Validation of Discovered Processes from Event Log Datasets

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