in recent years, formal methods have been used as an important tool for performance evaluation and verification of a wide range of systems. in the view points of engineers and practitioners, however, there are still some major difficulties in using formal methods. in this paper, we introduce a new formal modeling language to fill the gaps between object-oriented programming languages (oopls) us...

in recent years, formal methods have been used as an important tool forperformance evaluation and verification of a wide range of systems. in the viewpoints of engineers and practitioners, however, there are still some major difficultiesin using formal methods. in this paper, we introduce a new formal modelinglanguage to fill the gaps between object-oriented programming languages (oopls)used by...

A discrete event system (DES) is a dynamic system that evolves in accordance with the abrupt occurrence, at possibly unknown irregular intervals, of physical events. Because of the special nature of these systems, different tools are currently used for their analysis, design and modeling. The main focus of this paper is the presentation of a new modeling approach of Discrete Event Systems. The ...

In recent years, formal methods have been used as an important tool for performance evaluation and verification of a wide range of systems. In the view points of engineers and practitioners, however, there are still some major difficulties in using formal methods. In this paper, we introduce a new formal modeling language to fill the gaps between object-oriented programming languages (OOPLs) us...

In recent years, formal methods have been used as an important tool for performance evaluation and verification of a wide range of systems. In the view points of engineers and practitioners, however, there are still some major difficulties in using formal methods. In this paper, we introduce a new formal modeling language to fill the gaps between object-oriented programming languages (OOPLs) us...

The formalism of probabilistic languages has been introduced for modeling the qualitative behavior of stochastic discrete event systems. A probabilistic language is a unit interval valued map over the set of traces of the system satisfying certain consistency constraints. Regular language operators such as choice, concatenation, and Kleene-closure have been de ned in the setting of probabilisti...

Stand-alone modeling and distributed modeling show considerable differences in methodology and amount of modeling effort needed. An approach is discussed to design and develop distributed models with the ease of stand-alone modeling and without the overhead usually associated with distributed modeling. The main objective is to obtain interchangeability of a stand-alone model and its distributed...