Verification isjob one in today's modem design process. Statistics tell us that the verification process takes up a majority of the overall work. Chips that come back dead on arrival scream that verification is at fault for not finding the mistakes. How do we ensure success? After an accomplishment, have you ever had someone ask you, "Are you good or are you just lucky?"? Many design projects depend on blind luck in hopes that the chip will work. Other's, just adamantly rely on their own abilities to bring the chip to success. ill either case, how can we tell the difference between being good or lucky? There must be a better way not to fail. Failure. No one likes to fail. ill his book, "The Logic of Failure", Dietrich Domer argues that failure does not just happen. A series of wayward steps leads to disaster. Often these wayward steps are not really logical, decisive steps, but more like default omissions. Anti-planning if you will, an ad-hoc approach to doing something. To not plan then, is to fail.

Historically, the terms validation and verification have been very loosely defined in the system engineering world, with predictable confusion. Few hardware or software testing texts even touch upon validation and verification, despite the fact that, properly employed, these test tools offer system and test engineers powerful techniques for identifying and solving problems early in the design process. Together, validation and verification encompass testing, analysis, demonstration, and examination methods used to determine whether a proposed design will satisfy system requirements. System Validation and Verification clear definitions of the terms and detailed information on using these fundamental tools for problem solving. It smoothes the transition between requirements and design by providing methods for evaluating the ability of a given approach to satisfy demanding technical requirements. With this book, system and test engineers and project managers gain confidence in their designs and lessen the likelihood of serious problems cropping up late in the program. In addition to explanations of the theories behind the concepts, the book includes practical methods for each step of the process, examples from the author's considerable experience, and illustrations and tables to support the ideas. Although not primarily a textbook, System Validation and Verification is based in part on validation and verification courses taught by the author and is an excellent supplemental reference for engineering students. In addition to its usefulness to system engineers, the book will be valuable to a wider audience including manufacturing, design, software , and risk management project engineers - anyone involved in large systems design projects.

A key strength of this book is that it describes the entire verification cycle and details each stage. The organization of the book follows the cycle, demonstrating how functional verification engages all aspects of the overall design effort and how individual cycle stages relate to the larger design process. Throughout the text, the authors leverage their 35 plus years experience in functional verification, providing examples and case studies, and focusing on the skills, methods, and tools needed to complete each verification task. Additionally, the major vendors (Mentor Graphics, Cadence Design Systems, Verisity, and Synopsys) have implemented key examples from the text and made these available on line, so that the reader can test out the methods described in the text.

Functional Verification Coverage Measurement and Analysis addresses the subject of coverage measurement and analysis, a means of quantitatively assessing functional verification progress. In the absence of this process, design verification engineers (and their management) are left guessing whether or not they have completed verifying the device they are designing. Using the techniques described in this book, they will learn how to build a toolset which, when applied to the verification of their device, allows them to know how close they are to functional closure. Functional Verification Coverage Measurement and Analysis will be of interest to both professionals and academics as it instructs verification engineers and designers on how to measure verification progress and opens a number of areas of research for academia.

Effective Functional Verification is organized into 4 parts. The first part contains 3 chapters designed appeal to newcomers and experienced people to the field. There is a survey of various verification methodologies and a discussion of them. The second part with 3 chapters is targeted towards people in management and higher up on the experience ladders. New verification engineers reading these chapters learn what is expected and how things work in verification. Some case studies are also presented with analysis of proposed improvements. The last two parts are the result of experience of several years. It goes into how to optimize a verification plan and an environment and how to get results effectively. Various subjects are discussed here to get the most out of a verification environment. Lastely, the appendix discusses some tool specifics to help remove repetitive work and also some tool specific guidelines. While reading Effective Functional Verification, one will be able to get a jump start on planning and executing a verification plan using the concepts presented.

Automotive systems engineering addresses the system throughout its life cycle, including requirement, specification, design, implementation, verification and validation of systems, modeling, simulation, testing, manufacturing, operation and maintenance. This book is the fourth in a series of four volumes on this subject and features 12 papers, published between 2002-2009, that address the challenges and importance of systems approach in system verification and validation, stressing the use of advanced tools and approaches. Topics covered include: Systems integration and verification Software engineering in future automotive systems development Configuration management of the model-based design process