We present a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identification which preserve both soundness and response time distribution. Moreover we outline an approach to model the dynamic behavior of business processes by exploiting the power of the class of non-Markovian stochastic Petri net models
In this paper, we study performance evaluation of workflow-based information systems. Because of sta...
Many algorithms now exist for discovering process models from event logs. These models usually descr...
Process models are used by human analysts to model and analyse behaviour, and by machines to verify ...
We present a new net-reduction methodology to facilitate the analysis of large workflow models. We p...
Abstract: This paper presents a new net-reduction methodology to facilitate the anal-ysis of large w...
Recently, many companies have realized that their organization needs to be improved in order to enha...
To address the need for evaluation techniques for complex business processes, also known as workflow...
Many companies are reengineering their business processes to improve business performance. Often pic...
In this paper we review several approaches for the performance evaluation of business workflows and ...
In process mining, extensive data about an organizational process is summarized by a formal mathemat...
Abstract—In this paper we review several approaches for the performance evaluation of business workf...
We survey recent results on the development of efficient algorithms for the quantitative analysis of...
Performance analysis is one of the most important aspects in workflow management system. In this pap...
Performance analysis is one of the most important aspects in workflow management system. In this pap...
Workflow nets, a subclass of Petri nets, are known as attractive models for analysing complex busin...
In this paper, we study performance evaluation of workflow-based information systems. Because of sta...
Many algorithms now exist for discovering process models from event logs. These models usually descr...
Process models are used by human analysts to model and analyse behaviour, and by machines to verify ...
We present a new net-reduction methodology to facilitate the analysis of large workflow models. We p...
Abstract: This paper presents a new net-reduction methodology to facilitate the anal-ysis of large w...
Recently, many companies have realized that their organization needs to be improved in order to enha...
To address the need for evaluation techniques for complex business processes, also known as workflow...
Many companies are reengineering their business processes to improve business performance. Often pic...
In this paper we review several approaches for the performance evaluation of business workflows and ...
In process mining, extensive data about an organizational process is summarized by a formal mathemat...
Abstract—In this paper we review several approaches for the performance evaluation of business workf...
We survey recent results on the development of efficient algorithms for the quantitative analysis of...
Performance analysis is one of the most important aspects in workflow management system. In this pap...
Performance analysis is one of the most important aspects in workflow management system. In this pap...
Workflow nets, a subclass of Petri nets, are known as attractive models for analysing complex busin...
In this paper, we study performance evaluation of workflow-based information systems. Because of sta...
Many algorithms now exist for discovering process models from event logs. These models usually descr...
Process models are used by human analysts to model and analyse behaviour, and by machines to verify ...
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