Structural similarity of business process variants

Mahmod, Noor Mazlina; Wong, Yan Chiew

doi:10.1109/icos.2010.5720057

Cited by 9 publications

(10 citation statements)

References 8 publications

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“…It predicts the next step to be performed in a case by looking into the execution log. Similarly, Thom et al (2008) and Mahmod et al (2008) proposed the reuse of activity patterns for subsequent process modelling. Others such as Pawlowski and Bick (2008) attempted to establish the association between business process management and organisational learning.…”

Section: Discovering Insights From Work Practices Through Business Prmentioning

confidence: 99%

“…The models may be grouped based on behavioural similarity, such as that considered in Aalst et al (2006), Lu andSadiq (2008) and van Dongen et al (2008); that is, they belong to the same domain such as a customer response or an insurance claim process.…”

Section: Identification Of Best Practice Instancesmentioning

confidence: 99%

“…The model is either explicitly designed by previous process designers in a flexible business process management system (Lu and Sadiq, 2008) or mined from the execution logs.…”

Section: Identification Of Best Practice Instancesmentioning

confidence: 99%

“…These are first grouped against behavioural similarity using the technique proposed by Lu and Sadiq (2008). The popularity of the various variants (models) is then determined by calculating the count of instances against each one.…”

Section: Identification Of Best Practice Instancesmentioning

confidence: 99%

“…The architecture restricts P to process models with variances which have the same goal. All the process models are evaluated based on the behavioural dimension (Lu and Sadiq, 2008) as it contains the information on execution, such as the set of activities involved in the process execution, the exact sequence of activity execution, the performers and their roles in executing the activities, the process-relevant data, and the duration of the process instance and constituent activity.…”

Section: Identification Of Best Practice Instancesmentioning

confidence: 99%

See 4 more Smart Citations

A framework for socialisation of work practice for improving business process performance

Setiawan¹

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Section: Discovering Insights From Work Practices Through Business Prmentioning

confidence: 99%

Section: Identification Of Best Practice Instancesmentioning

confidence: 99%

“…The model is either explicitly designed by previous process designers in a flexible business process management system (Lu and Sadiq, 2008) or mined from the execution logs.…”

Section: Identification Of Best Practice Instancesmentioning

confidence: 99%

Section: Identification Of Best Practice Instancesmentioning

confidence: 99%

Section: Identification Of Best Practice Instancesmentioning

confidence: 99%

See 3 more Smart Citations

A framework for socialisation of work practice for improving business process performance

Setiawan¹

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Configuring Process Variants Through Semantic Reasoning in Systems Engineering

Detro¹,

Portela²,

Rocha³

et al. 2017

INSIGHT

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When dealing with processes, engineering systems need to be able to deal with the existence of many versions of the same process, known as variants. Each process variant aims to represent a specific business context but, due to some differences in the activities, resources, and control flow, they may differ in their logic. As result, the concept of a customizable process model has emerged. A process model can be customized by representing the process family in one single model deriving a variant through transformations in this single model. However, the process customization is not a trivial‐task. It must be ensured that the variant is correct. Besides, the resulting variant must respect all requirements related to the application context and internal and external regulations, among others. In addition, recommendations and guidance should be provided during the customization. In this context, this research aims to propose a framework for customizing variants according to the user's requirements. The customization is achieved by reasoning in an ontology based on the rules for selecting a variant, in the internal/external regulations, and on expert knowledge.

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A Behavioral Similarity Measure between Labeled Petri Nets Based on Principal Transition Sequences

Wang

Wen

et al. 2010

On the Move to Meaningful Internet Systems: OTM 2010

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Abstract. Being able to determine the degree of similarity between process models is important for management, reuse, and analysis of business process models. While various approaches to measuring process model similarity have been proposed in the literature, these approaches tend to use structural aspects of a process model rather than their behavior. In this paper we propose a novel method to determine the degree of similarity between process models, which exploits their semantics. Our approach is designed for labeled Petri nets as these can be seen as a foundational theory for process modeling. As the set of traces of a labeled Petri net may be infinite, the challenge is to find a way to represent behavioral characteristics of a net in a finite manner. Therefore, the proposed similarity measure is based on the notion of so-called "principal transition sequences", which aim to provide an approximation of the essence of a process model. This paper defines a novel similarity measure, proposes a method to compute it, and demonstrates that it offers certain benefits with respect to the state-of-the-art in this field.

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Structural similarity of business process variants

Cited by 9 publications

References 8 publications

A framework for socialisation of work practice for improving business process performance

A framework for socialisation of work practice for improving business process performance

Configuring Process Variants Through Semantic Reasoning in Systems Engineering

A Behavioral Similarity Measure between Labeled Petri Nets Based on Principal Transition Sequences

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