Using Object-Oriented Frame Language for Realizing Discrete Event Simulation

1996 ◽  
Author(s):  
Ming Dong ◽  
Jianzhong Cha ◽  
Mingcheng E
Keyword(s):  
Knowledge Base ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Object Oriented ◽  
Simulation Models ◽  
Activity Cycle ◽  
Event Simulation ◽  
Knowledge Based ◽  
Inference Engines ◽  
Reasoning About Knowledge

Abstract In this paper, we realize knowledge-based discrete event simulation model’s representation, reasoning and implementation by means of object-oriented(OO) frame language. Firstly, a classes library of simulation models is built by using the OO frame language. And then, behaviours of simulation models can be generated by inference engines reasoning about knowledge base. Lastly, activity cycle diagrams can be used to construct simulation network logic models by connecting the components classes of simulation models. This kind of knowledge-based simulation models can effectively solve the modeling problems of complex and ill-structure systems.

Discrete Event Simulation Process Validation, Verification, and Testing

2007 ◽  
pp. 177-212 ◽  
Author(s):  
Evon M. O. Abu-Taieh ◽  
Asim Abdel Rahman El Sheikh
Keyword(s):  
Discrete Event Simulation ◽  
Objective Assessment ◽  
Discrete Event ◽  
Validation And Verification ◽  
Event Simulation ◽  
Testing Tools ◽  
Testing Techniques ◽  
Engineering Practices ◽  
Tools And Techniques ◽  
Simulation Systems

This chapter introduces validation, verification, and testing tools and techniques pertaining to discrete event simulation. The chapter distinguishes between validation and verification within the context of discrete event simulation. Then, we will show the importance of such topic by revealing the amount research done in simulation validation and verification. The chapter subsequently discusses the reasons why simulation projects fail and the sources of simulation inaccuracies. Next, the chapter gives different taxonomies for validation, verification, and testing techniques (VV&T) for both types of simulation systems: object-oriented-based and algorithmic-based. Therefore, the chapter will present a translation of thirteen software-engineering practices suggested for simulation projects. Notwithstanding the significance of providing an objective assessment platform, as such, the chapter will shed light on the independence of VV&T pertaining to simulation systems.

scholarly journals Practical Benefits of Aspect-Oriented Programming Paradigm in Discrete Event Simulation

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Meriem Chibani ◽  
Brahim Belattar ◽  
Abdelhabib Bourouis
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Separation Of Concerns ◽  
Quality Factors ◽  
Crosscutting Concerns ◽  
Simulation Tools ◽  
Event Simulation ◽  
Aspect Oriented Modeling ◽  
Simulation Systems

Aspect-oriented modeling and simulation is a new approach which uses the separation of concerns principle to enhance the quality of models and simulation tools. It adopts the separation of concerns (SOC) principle. Thus, crosscutting concerns such as processes synchronization, steady state detection, and graphical animation could be separated from simulation functional modules. The capture of crosscutting concerns in a modular way is carried out to cope with complexity and to achieve the required engineering quality factors such as robustness, modularity, adaptability, and reusability. This paper provides a summary of aspect-oriented paradigm with its usage in simulation by illustrating the main crosscutting concerns that may infect simulation systems. A practical example is given with the use of the Japrosim discrete event simulation library.

Sign in / Sign up

Export Citation Format

Share Document