Skip Nav Destination
ASME Press Select Proceedings
International Conference on Software Technology and Engineering (ICSTE 2012)
Editor
ISBN:
9780791860151
No. of Pages:
680
Publisher:
ASME Press
Publication date:
2012
eBook Chapter
74 Transforming UML State Diagram to High Level Petri Net
Page Count:
6
-
Published:2012
Citation
Alhroob, A, Yousif, N, & Maaita, A. "Transforming UML State Diagram to High Level Petri Net." International Conference on Software Technology and Engineering (ICSTE 2012). Ed. Zhou, J. ASME Press, 2012.
Download citation file:
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.
1. Introduction
2. Previous Work
3. State Diagram Transformation
4. Conclusions
References
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
An Evaluation of Current Approaches to Support Test Coverage Analysis
International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)
Using Clustering Techniques Goes with Genetic Algorithm to Improve Software Defect Prediction
International Conference on Software Technology and Engineering, 3rd (ICSTE 2011)
The Impact of Software Instrumentation on Clinical Evaluations
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
An Introduction to Statistical and Ecological Software
Statistics in the Environmental Sciences
Related Articles
Genetic Algorithms for Optimization of Building Envelopes and the Design and Control of HVAC Systems
J. Sol. Energy Eng (August,2003)
Component Map Generation of a Gas Turbine Using Genetic Algorithms
J. Eng. Gas Turbines Power (January,2006)
Hybrid Genetic Algorithm: A Robust Parameter Estimation Technique and its Application to Heavy Duty Vehicles
J. Dyn. Sys., Meas., Control (September,2006)