This practical new book provides much-needed, practical, hands-on experience capturing analysis and design in UML. It holds the hands of engineers making the difficult leap from developing in C to the higher-level and more robust Unified Modeling Language, thereby supporting professional development for engineers looking to broaden their skill-sets in order to become more saleable in the job market. It provides a laboratory environment through a series of progressively more complex exercises that act as building blocks, illustrating the various aspects of UML and its application to real-time and embedded systems. With its focus on gaining proficiency, it goes a significant step beyond basic UML overviews, providing both comprehensive methodology and the best level of supporting exercises available on the market. Each exercise has a matching solution which is thoroughly explained step-by-step in the back of the book. The techniques used to solve these problems come from the author's decades of experience designing and constructing real-time systems. After the exercises have been successfully completed, the book will act as a desk reference for engineers, reminding them of how many of the problems they face in their designs can be solved. - Tutorial style text with keen focus on in-depth presentation and solution of real-world example problems - Highly popular, respected and experienced author

Real-time and embedded systems must make the most of very limited processor and memory sources, and UML is an invaluable tool for achieving these goals. Key topics include information on tradeoffs associated with each object design approach, design patterns and identification strategies, detailed appendix on OMG, and more.

A recent survey stated that 52% of embedded projects are late by 4-5 months. This book can help get those projects in on-time with design patterns. The author carefully takes into account the special concerns found in designing and developing embedded applications specifically concurrency, communication, speed, and memory usage. Patterns are given in UML (Unified Modeling Language) with examples including ANSI C for direct and practical application to C code. A basic C knowledge is a prerequisite for the book while UML notation and terminology is included. General C programming books do not include discussion of the contraints found within embedded system design. The practical examples give the reader an understanding of the use of UML and OO (Object Oriented) designs in a resource-limited environment. Also included are two chapters on state machines. The beauty of this book is that it can help you today. . - Design Patterns within these pages are immediately applicable to your project - Addresses embedded system design concerns such as concurrency, communication, and memory usage - Examples contain ANSI C for ease of use with C programming code

The complexity of most real-time and embedded systems often exceeds that of other types of systems since, in addition to the usual spectrum of problems inherent in software, they need to deal with the complexities of the physical world. That world—as the proverbial Mr. Murphy tells us—is an unpredictable and often unfriendly place. Consequently, there is a very strong motivation to investigate and apply advanced design methods and technologies that could simplify and improve the reliability of real-time software design and implementation. As a result, from the first versions of UML issued in the mid 1990’s, designers of embedded and real-time systems have taken to UML with vigour and enthusiasm. However, the dream of a complete, model-driven design flow from specification through automated, optimised code generation, has been difficult to realise without some key improvements in UML semantics and syntax, specifically targeted to the real-time systems problem. With the enhancements in UML that have been proposed and are near standardisation with UML 2. 0, many of these improvements have been made. In the Spring of 2003, adoption of a formalised UML 2. 0 specification by the members of the Object Management Group (OMG) seems very close. It is therefore very appropriate to review the status of UML as a set of notations for embedded real-time systems - both the state of the art and best practices achieved up to this time with UML of previous generations - and where the changes embodied in the 2.

Real-time and embedded systems face the same development challenges as traditional software: shrinking budgets and shorter timeframes. However, these systems can be even more difficult to successfully develop due to additional requirements for timeliness, safety, reliability, minimal resource use, and, in some cases, the need to support rigorous industry standards. In Real-Time Agility, leading embedded-systems consultant Bruce Powel Douglass reveals how to leverage the best practices of agile development to address all these challenges. Bruce introduces the Harmony/ESW process: a proven, start-to-finish approach to software development that can reduce costs, save time, and eliminate potential defects. Replete with examples, this book provides an ideal tutorial in agile methods for real-time and embedded-systems developers. It also serves as an invaluable “in the heat of battle” reference guide for developers working to advance projects, both large and small. Coverage includes How Model-Driven Development (MDD) and agile methods work synergistically The Harmony/ESW process, including roles, workflows, tasks, and work products Phases in the Harmony/ESW microcycle and their implementation Initiating a real-time agile project, including the artifacts you may (or may not) need Agile analysis, including the iteration plan, clarifying requirements, and validation The three levels of agile design: architectural, mechanistic, and detailed Continuous integration strategies and end-of-the-microcycle validation testing How Harmony/ESW’s agile process self-optimizes by identifying and managing issues related to schedule, architecture, risks, workflows, and the process itself

Worried about the growing complexity of systems in your organization? Manage it with recipes for applying agile methodologies and techniques in model-based systems engineering (MBSE) Key Features Learn how Agile and MBSE can work iteratively and collaborate to overcome system complexity Develop essential systems engineering products and achieve crucial enterprise objectives with easy-to-follow recipes Build efficient system engineering models using tried and trusted best practices Book DescriptionAgile MBSE can help organizations manage constant change and uncertainty while continuously ensuring system correctness and meeting customers’ needs. But deploying it isn’t easy. Agile Model-Based Systems Engineering Cookbook is a little different from other MBSE books out there. This book focuses on workflows – or recipes, as the author calls them – that will help MBSE practitioners and team leaders address practical situations that are part of deploying MBSE as part of an agile development process across the enterprise. Written by Dr. Bruce Powel Douglass, a world-renowned expert in MBSE, this book will take you through important systems engineering workflows and show you how they can be performed effectively with an agile and model-based approach. You’ll start with the key concepts of agile methods for systems engineering, but we won’t linger on the theory for too long. Each of the recipes will take you through initiating a project, defining stakeholder needs, defining and analyzing system requirements, designing system architecture, performing model-based engineering trade studies, all the way to handling systems specifications off to downstream engineering. By the end of this MBSE book, you’ll have learned how to implement critical systems engineering workflows and create verifiably correct systems engineering models.What you will learn Apply agile methods to develop systems engineering specifications Perform functional analysis with SysML Derive and model systems architectures from key requirements Model crucial engineering data to clarify systems requirements Communicate decisions with downstream subsystem implementation teams Verify specifications with model reviews and simulations Ensure the accuracy of systems models through model-based testing Who this book is for If you are a systems engineer who wants to pursue model-based systems engineering in an agile setting, this book will show you how you can do that without breaking a sweat. Fundamental knowledge of SysML is necessary; the book will teach you the rest.

An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems. The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city. These less visible computers are called embedded systems, and the software they run is called embedded software. The principal challenges in designing and analyzing embedded systems stem from their interaction with physical processes. This book takes a cyber-physical approach to embedded systems, introducing the engineering concepts underlying embedded systems as a technology and as a subject of study. The focus is on modeling, design, and analysis of cyber-physical systems, which integrate computation, networking, and physical processes. The second edition offers two new chapters, several new exercises, and other improvements. The book can be used as a textbook at the advanced undergraduate or introductory graduate level and as a professional reference for practicing engineers and computer scientists. Readers should have some familiarity with machine structures, computer programming, basic discrete mathematics and algorithms, and signals and systems.