In the first two volumes of Structured Development for Real Time Systems, authors Paul Ward and Stephen Mellor described a comprehensive modeling notation and a set of guidelines for using the notation to build an essential model. In this final volume, the guidelines are extended to encompass the building of an implementation model, and the notation is extended to include a hierarchical description of code organization.

Without a framework for organizing and codifying these ideas, systems modeling can become disjointed, frustrating, and ultimately ineffective. This book is extensively illustrated with detailed examples illuminating the main points discussed. Its four appendices provide fully worked examples of pertinent applications.

Real-time and embedded systems are in widespread use in the modern world. From the microprocessor controller in a camera, through "smart" traffic lights and production control systems, to large defense systems, computer technology is increasingly a part of systems that control and respond to their environments in real-time. As the technology has improved, we have come to rely on these systems more and more --- we have even put our lives in their hands. Airplanes, biomedical accelerators, nuclear power plants, and the like all depend on real-time control to operate safely. A failure in a control system, such as not responding correctly to faults in the environment, could endanger many lives. Unfortunately, there is a tendency for developers to focuse too heavily on the intrcacies of the engineering and computer technology, to the detriment of understanding the real-world problem at hand. At best, this wastes time and resouces and at worst it is dangerous in light of the life-critical nature of today's systems. This misplaced focus can result at least partly from the lack of a comprehensive set of modeling tools and techniques fitted to the real-time development environment. This book provides the tools and techniques needed for visualizing and verifying the operation of a real-time system prior to construction, and demonstrates their usefulness.

A guide to the application of the theory and practice of computing to develop and maintain software that economically solves real-world problem How to Engineer Software is a practical, how-to guide that explores the concepts and techniques of model-based software engineering using the Unified Modeling Language. The author—a noted expert on the topic—demonstrates how software can be developed and maintained under a true engineering discipline. He describes the relevant software engineering practices that are grounded in Computer Science and Discrete Mathematics. Model-based software engineering uses semantic modeling to reveal as many precise requirements as possible. This approach separates business complexities from technology complexities, and gives developers the most freedom in finding optimal designs and code. The book promotes development scalability through domain partitioning and subdomain partitioning. It also explores software documentation that specifically and intentionally adds value for development and maintenance. This important book: Contains many illustrative examples of model-based software engineering, from semantic model all the way to executable code Explains how to derive verification (acceptance) test cases from a semantic model Describes project estimation, along with alternative software development and maintenance processes Shows how to develop and maintain cost-effective software that solves real-world problems Written for graduate and undergraduate students in software engineering and professionals in the field, How to Engineer Software offers an introduction to applying the theory of computing with practice and judgment in order to economically develop and maintain software.

This book collects the research work of leading-edge researchers and practitioners in the areas of analysis, synthesis, design and implementation of real-time systems with applications in various industrial fields. Their works are grouped into six parts, together encompassing twenty chapters. Each part is devoted to a mainstream subject, the chapters therein developing one of the major aspects of real-time system theory, modeling, design, and practical applications. Starting with a general approach in the area of formalization of real-time systems, and setting the foundations for a general systemic theory of those systems, the book covers everything from building modeling frameworks for various types of real-time systems, to verification, and synthesis. Other parts of the book deal with subjects related to tools and applications of these systems. A special part is dedicated to languages used for their modeling and design. The applications presented in the book reveal precious insights into practitioners' secrets.

Real-Time Simulation Technologies: Principles, Methodologies, and Applications is an edited compilation of work that explores fundamental concepts and basic techniques of real-time simulation for complex and diverse systems across a broad spectrum. Useful for both new entrants and experienced experts in the field, this book integrates coverage of detailed theory, acclaimed methodological approaches, entrenched technologies, and high-value applications of real-time simulation—all from the unique perspectives of renowned international contributors. Because it offers an accurate and otherwise unattainable assessment of how a system will behave over a particular time frame, real-time simulation is increasingly critical to the optimization of dynamic processes and adaptive systems in a variety of enterprises. These range in scope from the maintenance of the national power grid, to space exploration, to the development of virtual reality programs and cyber-physical systems. This book outlines how, for these and other undertakings, engineers must assimilate real-time data with computational tools for rapid decision making under uncertainty. Clarifying the central concepts behind real-time simulation tools and techniques, this one-of-a-kind resource: Discusses the state of the art, important challenges, and high-impact developments in simulation technologies Provides a basis for the study of real-time simulation as a fundamental and foundational technology Helps readers develop and refine principles that are applicable across a wide variety of application domains As science moves toward more advanced technologies, unconventional design approaches, and unproven regions of the design space, simulation tools are increasingly critical to successful design and operation of technical systems in a growing number of application domains. This must-have resource presents detailed coverage of real-time simulation for system design, parallel and distributed simulations, industry tools, and a large set of applications.

The leading guide to real-time systems design-revised and updated This third edition of Phillip Laplante's bestselling, practical guide to building real-time systems maintains its predecessors' unique holistic, systems-based approach devised to help engineers write problem-solving software. Dr. Laplante incorporates a survey of related technologies and their histories, complete with time-saving practical tips, hands-on instructions, C code, and insights into decreasing ramp-up times. Real-Time Systems Design and Analysis, Third Edition is essential for students and practicing software engineers who want improved designs, faster computation, and ultimate cost savings. Chapters discuss hardware considerations and software requirements, software systems design, the software production process, performance estimation and optimization, and engineering considerations. This new edition has been revised to include: * Up-to-date information on object-oriented technologies for real-time including object-oriented analysis, design, and languages such as Java, C++, and C# * Coverage of significant developments in the field, such as: New life-cycle methodologies and advanced programming practices for real-time, including Agile methodologies Analysis techniques for commercial real-time operating system technology Hardware advances, including field-programmable gate arrays and memory technology * Deeper coverage of: Scheduling and rate-monotonic theories Synchronization and communication techniques Software testing and metrics Real-Time Systems Design and Analysis, Third Edition remains an unmatched resource for students and practicing software engineers who want improved designs, faster computation, and ultimate cost savings.

Software Engineering for Image Processing Systems creates a modern engineering framework for the specification, design, coding, testing, and maintenance of image processing software and systems. The text is designed to benefit not only software engineers, but also workers with backgrounds in mathematics, the physical sciences, and other engineering

Real-Time Systems Engineering and Applications is a well-structured collection of chapters pertaining to present and future developments in real-time systems engineering. After an overview of real-time processing, theoretical foundations are presented. The book then introduces useful modeling concepts and tools. This is followed by concentration on the more practical aspects of real-time engineering with a thorough overview of the present state of the art, both in hardware and software, including related concepts in robotics. Examples are given of novel real-time applications which illustrate the present state of the art. The book concludes with a focus on future developments, giving direction for new research activities and an educational curriculum covering the subject. This book can be used as a source for academic and industrial researchers as well as a textbook for computing and engineering courses covering the topic of real-time systems engineering.