A model driven approach to analysis and synthesis of sequence diagrams

Software design is a vital phase in a software development life cycle as it creates a blueprint for the implementation of the software. It is crucial that software designs are error-free since any unresolved design-errors could lead to costly implementation errors. To minimize these errors, the software community adopted the concept of modelling from various other engineering disciplines. Modelling provides a platform to create and share abstract or conceptual representations of the software system – leading to various modelling languages, among them Unified Modelling Language (UML) and Petri Nets. While Petri Nets strong mathematical capability allows various formal analyses to be performed on the models, UMLs user-friendly nature presented a more appealing platform for system designers. Using Multi Paradigm Modelling, this thesis presents an approach where system designers may have the best of both worlds; SD2PN, a model transformation that maps UML Sequence Diagrams into Petri Nets allows system designers to perform modelling in UML while still using Petri Nets to perform the analysis. Multi Paradigm Modelling also provided a platform for a well-established theory in Petri Nets – synthesis to be adopted into Sequence Diagram as a method of putting-together different Sequence Diagrams based on a set of techniques and algorithms

An Architecture for Automated QoS Resolution in Wireless Systems

Abstract: The pervasive nature of mobile and wireless systems has led to increased concerns over Quality of Service (QoS). In the prevailing models for QoS management, QoS resolution is achieved by table look-up, a feature that makes table access the focal point of activity. This approach suffers from two limitations, namely, an inability to deal with unexpected QoS requests, and a reliance on human intervention for update of information. This paper is concerned with the presentation of an architecture for supporting automated QoS resolution through verification. The architecture is modular and the QoS resolution function is performed by a subsidiary component, which combines knowledge base with resolution mechanism. This separation of concerns and the support for flexible QoS management has the advantage o