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Model-Driven Dependability Assessment of Software Systems

Springer Berlin,
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This book presents cutting-edge model-driven techniques for modeling and analysis of software dependability. It details the state of the art on UML profile proposals for dependability specification and rigorously describes the trade-off they accomplish.


Titel: Model-Driven Dependability Assessment of Software Systems
Autoren/Herausgeber: Simona Bernardi, Jose Merseguer, Dorina C Petriu
Ausgabe: Softcover reprint of the original 1st ed. 2013

ISBN/EAN: 9783662509425

Seitenzahl: 187
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 320 g
Sprache: Englisch

Simona Bernardi is a professor at the University Center of Defence, General Military Academy of Zaragoza, Spain. She has participated in several projects dealing with the development of fault-tolerant distributed embedded systems. Her research interests include software performance and dependability engineering, UML and object-oriented software development methodologies, and formal methods for the modeling and analysis of software systems.José Merseguer is a professor at the Department of Computer Science and Systems Engineering, University of Zaragoza, where he teaches software engineering courses at graduate and undergraduate levels. His main research interests include performance and dependability analysis of software systems, UML semantics, self-adaptive systems and service-oriented software engineering.Dorina C. Petriu is a professor at the Department of Systems and Computer Engineering at Carleton University, Ottawa, ON, Canada. Her main research interests are in the areas of software performance modeling and model-driven development, with an emphasis on integrating performance and dependability engineering into the software development process. She was a contributor to two OMG standards, the “UML Profile for Schedulability, Performance and Time (SPT)” and the “UML Profile for Modeling and Analysis of Real Time Systems (MARTE)”.

Over the last two decades, a major challenge for researchers working on modeling and evaluation of computer-based systems has been the assessment of system Non Functional Properties (NFP) such as performance, scalability, dependability and security.In this book, the authors present cutting-edge model-driven techniques for modeling and analysis of software dependability. Most of them are based on the use of UML as software specification language. From the software system specification point of view, such techniques exploit the standard extension mechanisms of UML (i.e., UML profiling). UML profiles enable software engineers to add non-functional properties to the software model, in addition to the functional ones. The authors detail the state of the art on UML profile proposals for dependability specification and rigorously describe the trade-off they accomplish. The focus is mainly on RAMS (reliability, availability, maintainability and safety) properties. Among the existing profiles, they emphasize the DAM (Dependability Analysis and Modeling) profile, which attempts to unify, under a common umbrella, the previous UML profiles from literature, providing capabilities for dependability specification and analysis. In addition, they describe two prominent model-to-model transformation techniques, which support the generation of the analysis model and allow for further assessment of different RAMS properties. Case studies from different domains are also presented, in order to provide practitioners with examples of how to apply the aforementioned techniques.Researchers and students will learn basic dependability concepts and how to model them using UML and its extensions. They will also gain insights into dependability analysis techniques through the use of appropriate modeling formalisms as well as of model-to-model transformation techniques for deriving dependability analysis models from UML specifications. Moreover, software practitioners will find a unified framework for the specification of dependability requirements and properties of UML, and will benefit from the detailed case studies.

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