uml is known as one of the most common methods in software engineering.since this language is semi-formal, many researches and efforts have beenperformed to transform this language into formal methods including petri nets.thus, the operation of verification and validation of the qualitative and nonfunctionalparameters could be achieved with more ability. since the majority of thereal world info...

UML is known as one of the most common methods in software engineering. Since this language is semi-formal, many researches and efforts have been performed to transform this language into formal methods including Petri nets. Thus, the operation of verification and validation of the qualitative and nonfunctional parameters could be achieved with more ability. Since the majority of the real world...

UML is known as one of the most common methods in software engineering. Since this language is semi-formal, many researches and efforts have been performed to transform this language into formal methods including Petri nets. Thus, the operation of verification and validation of the qualitative and nonfunctional parameters could be achieved with more ability. Since the majority of the real world...

Recovering the static structure of legacy source code e.g. as an UML class diagram is quite well understood. In contrast, recovering high-level behaviour diagrams from source code is still an open issue. This paper proposes to use fuzzy pattern detection techniques for the recovery of UML collaboration diagrams from source code. The approach is based on a knowledge base of basic datatypes and o...

This paper deals with a method which enables to describe a system using both UML State Machine Diagrams and Fuzzy-DEVS (to describe uncertain data) then to perform its simulation using DEVS formalism. The goal of the paper is to simplify the modeling of DEVS models, and also to take into account possible uncertainties on the transitions between states, by using a language based on UML State Mac...

None of the processing models in the software development has explained the software systems performance evaluation and modeling; likewise, there exist uncertainty in the information systems because of the natural essence of requirements and this may cause other challenges in the processing of software development. By definition an extended version of UML (Fuzzy-UML), the functional requirement...

In this communication, we study decision influence diagrams using fuzzy sets and fuzzy random variables t,o model problems in which assessing real-valued ~t i l i t~ies , and employing real-valued random variables t o model random magnit,udes, are considered to be too restrictive. We propose conditions allowing us to solve decision influence diagrams when uncertainty magnitudes are formalized b...

In this work, we present an application of the Fuzzy Logic in the field of prediction in Software Engineering. We specifically use the Fuzzy Prototypical Knowledge Discovery for characterizing the UML statechart diagrams according to their understandability, starting from the structural complexity and size of the diagrams, expressed by means of metrics, and the Fuzzy Deformable Prototypes, to o...

A finite switchboard state machine is a specialized finite state machine. It is built by binding the concepts of switching state machines and commutative state machines. The main purpose of this paper is to give a specific algorithm for fuzzy finite switchboard state machine and also, investigates the concepts of switching relation, covering, restricted cascade products and wreath products of f...

this ability in fuzzy uml, practically leaves the customers and market’s need without response in this important and vital area. here, the available sequence diagrams in fuzzy uml will map into fuzzy petri net. however, the formal models ability will be added to the semi-formal fuzzy uml. this formalization will add the automatic processing ability to the semi-formal fuzzy uml. further more, ...