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Wiwat Vatanawood

Researcher at Chulalongkorn University

Publications -  67
Citations -  265

Wiwat Vatanawood is an academic researcher from Chulalongkorn University. The author has contributed to research in topics: Petri net & Formal verification. The author has an hindex of 8, co-authored 62 publications receiving 196 citations.

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Proceedings ArticleDOI

Business process ontology for defining user story

TL;DR: The business process ontology for defining user story is proposed, a knowledge base designed to collect the user stories in term of N-triple and the synonym property is introduced to simplify and reduce the number of the nodes in the ontology.
Journal ArticleDOI

Transformation of the BPMN Design Model into a Colored Petri Net Using the Partitioning Approach

TL;DR: This paper proposes a transformation technique and provides a framework for transforming the BPMN design models into colored Petri nets (CPNs), and its techniques cover both the control-flow and data-flow perspectives.
Journal ArticleDOI

Hierarchical Verification for the BPMN Design Model Using State Space Analysis

TL;DR: This paper proposes a hierarchical verification technique for the state space analysis based on a colored Petri net (CPN) that is a viable option for the software process designers and is suitable for the large-scale BPMN design model verification.
Proceedings ArticleDOI

Formal verification of cloud orchestration design with TOSCA and BPEL

TL;DR: The safety properties of the cloud orchestration are focused only and defined using the linear temporal logic formula and the resulting formal model of the superimposition between BPEL and TOSCA defines not only the orchestration of the web services but also their service interfaces and the corresponding high level behaviors of the services.
Proceedings ArticleDOI

An approach to construct formal model of business process model from BPMN workflow patterns

TL;DR: An approach to construct formal model of business process model from given BPMN workflow patterns - basic control-flow patterns, and how to systematically generate the PROMELA template is proposed.