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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2014 Vol.2(3): 243-246 ISSN: 2301-3559
DOI: 10.7763/LNSE.2014.V2.130

Transforming UML State Machine Diagram to High Level Petri Net Using Genetic Algorithm

Aysh Alhroob and Nidal Yousef
Abstract—This paper presents a new methodology to transform UML State diagram to High Level Petri Net (HLPN). Genetic Algorithms (GAs) has been used to generate software specifications set which covers maximum states and transitions in state diagram. Then, these states are used to improve the logical ordering of HLPN. Not all states will be used to represent the HLPN, but those that are selected by GA which reduce the number of HLPN details and avoiding the redundant of states.

Index Terms—UML, HLPN, software development model, model transformation, GA.

The authors are with the Faculty of Computing and Information Technology, Al-Isra University Jordan (e-mail: Aysh@ipu.edu.jo, nidal.yousef @ipu.edu.jo).


Cite: Aysh Alhroob and Nidal Yousef, "Transforming UML State Machine Diagram to High Level Petri Net Using Genetic Algorithm," Lecture Notes on Software Engineering vol. 2, no. 3, pp. 243-246, 2014.

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