High Level System Modeling

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High-Level System Modeling

Author: Ronald Waxman
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
In system design, generation of high-level abstract models that can be closely associated with evolving lower-level models provides designers with the ability to incrementally `test' an evolving design against a model of a specification. Such high-level models may deal with areas such as performance, reliability, availability, maintainability, and system safety. Abstract models also allow exploration of the hardware versus software design space in an incremental fashion as a fuller, detailed design unfolds, leaving behind the old practice of hardware-software binding too early in the design process. Such models may also allow the inclusion of non-functional aspects of design (e.g. space, power, heat) in a simulatable information model dealing with the system's operation. This book addresses Model Generation and Application specifically in the following domains: Specification modeling (linking object/data modeling, behavior modeling, and activity modeling). Operational specification modeling (modeling the way the system is supposed to operate - from a user's viewpoint). Linking non-functional parameters with specification models. Hybrid modeling (linking performance and functional elements). Application of high-level modeling to hardware/software approaches. Mathematical analysis techniques related to the modeling approaches. Reliability modeling. Applications of High Level Modeling. Reducing High Level Modeling to Practice. High-Level System Modeling: Specification and Design Methodologies describes the latest research and practice in the modeling of electronic systems and as such is an important update for all researchers, design engineers and technical managers working in design automation and circuit design.
High-Level System Modeling

Author: Jean-Michel Bergé
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
A reactive system is one that is in continual interaction with its environment and executes at a pace determined by that environment. Examples of reactive systems are network protocols, air-traffic control systems, industrial-process control systems etc. Reactive systems are ubiquitous and represent an important class of systems. Due to their complex nature, such systems are extremely difficult to specify and implement. Many reactive systems are employed in highly-critical applications, making it crucial that one considers issues such as reliability and safety while designing such systems. The design of reactive systems is considered to be problematic, and p.oses one of the greatest challenges in the field of system design and development. In this paper, we discuss specification-modeling methodologies for reactive systems. Specification modeling is an important stage in reactive system design where the designer specifies the desired properties of the reactive system in the form of a specification model. This specification model acts as the guidance and source for the implementation. To develop the specification model of complex systems in an organized manner, designers resort to specification modeling methodologies. In the context of reactive systems, we can call such methodologies reactive-system specification modeling methodologies.
Abstract State Machines

Author: Egon Börger
language: en
Publisher: Springer Science & Business Media
Release Date: 2003-04-23
This text includes audiovisual material (CD-ROM).