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.

System Verification: Proving the Design Solution Satisfies the Requirements, Second Edition explains how to determine what verification work must be done, how the total task can be broken down into verification tasks involving six straightforward methods, how to prepare a plan, procedure, and report for each of these tasks, and how to conduct an audit of the content of those reports for a particular product entity. This process-centered book is applicable to engineering and computing projects of all kinds, and the lifecycle approach helps all stakeholders in the design process understand how the verification and validation stage is significant to them. In addition to many flowcharts that illustrate the verification procedures involved, the book also includes 14 verification form templates for use in practice. The author draws on his experience of consulting for industry as well as lecturing to provide a uniquely practical and easy to use guide which is essential reading for systems and validation engineers, as well as everyone involved in the product design process. - Includes 14 real life templates for use in verification tasks - Explains concepts in the context of the entire design lifecycle, helping all project stakeholders engage - Contains a process-focused approach to design model verification that can be applied to all engineering design and software development projects

Systems' Verification Validation and Testing (VVT) are carried out throughout systems' lifetimes. Notably, quality-cost expended on performing VVT activities and correcting system defects consumes about half of the overall engineering cost. Verification, Validation and Testing of Engineered Systems provides a comprehensive compendium of VVT activities and corresponding VVT methods for implementation throughout the entire lifecycle of an engineered system. In addition, the book strives to alleviate the fundamental testing conundrum, namely: What should be tested? How should one test? When should one test? And, when should one stop testing? In other words, how should one select a VVT strategy and how it be optimized? The book is organized in three parts: The first part provides introductory material about systems and VVT concepts. This part presents a comprehensive explanation of the role of VVT in the process of engineered systems (Chapter-1). The second part describes 40 systems' development VVT activities (Chapter-2) and 27 systems' post-development activities (Chapter-3). Corresponding to these activities, this part also describes 17 non-testing systems' VVT methods (Chapter-4) and 33 testing systems' methods (Chapter-5). The third part of the book describes ways to model systems' quality cost, time and risk (Chapter-6), as well as ways to acquire quality data and optimize the VVT strategy in the face of funding, time and other resource limitations as well as different business objectives (Chapter-7). Finally, this part describes the methodology used to validate the quality model along with a case study describing a system's quality improvements (Chapter-8). Fundamentally, this book is written with two categories of audience in mind. The first category is composed of VVT practitioners, including Systems, Test, Production and Maintenance engineers as well as first and second line managers. The second category is composed of students and faculties of Systems, Electrical, Aerospace, Mechanical and Industrial Engineering schools. This book may be fully covered in two to three graduate level semesters; although parts of the book may be covered in one semester. University instructors will most likely use the book to provide engineering students with knowledge about VVT, as well as to give students an introduction to formal modeling and optimization of VVT strategy.

At the dawn of the 21st century and the information age, communication and c- puting power are becoming ever increasingly available, virtually pervading almost every aspect of modern socio-economical interactions. Consequently, the potential for realizing a signi?cantly greater number of technology-mediated activities has emerged. Indeed, many of our modern activity ?elds are heavily dependant upon various underlying systems and software-intensive platforms. Such technologies are commonly used in everyday activities such as commuting, traf?c control and m- agement, mobile computing, navigation, mobile communication. Thus, the correct function of the forenamed computing systems becomes a major concern. This is all the more important since, in spite of the numerous updates, patches and ?rmware revisions being constantly issued, newly discovered logical bugs in a wide range of modern software platforms (e. g. , operating systems) and software-intensive systems (e. g. , embedded systems) are just as frequently being reported. In addition, many of today’s products and services are presently being deployed in a highly competitive environment wherein a product or service is succeeding in most of the cases thanks to its quality to price ratio for a given set of features. Accordingly, a number of critical aspects have to be considered, such as the ab- ity to pack as many features as needed in a given product or service while c- currently maintaining high quality, reasonable price, and short time -to- market.

This book clearly explains how to do probabilistic calculations to accomplish SIL verification for safety systems. Starting with a description of the safety lifecycle, the authors show where and how SIL verification fits into the key activities from conceptual design through commissioning.

A graduate-level textbook that presents a unified mathematical framework for modeling and analyzing cyber-physical systems, with a strong focus on verification. Verification aims to establish whether a system meets a set of requirements. For such cyber-physical systems as driverless cars, autonomous spacecraft, and air-traffic management systems, verification is key to building safe systems with high levels of assurance. This graduate-level textbook presents a unified mathematical framework for modeling and analyzing cyber-physical systems, with a strong focus on verification. It distills the ideas and algorithms that have emerged from more than three decades of research and have led to the creation of industrial-scale modeling and verification techniques for cyber-physical systems.

Hybrid systems describe the interaction of software, described by finite models such as finite-state machines, with the physical world, described by infinite models such as differential equations. This book addresses problems of verification and controller synthesis for hybrid systems. Although these problems are very difficult to solve for general hybrid systems, several authors have identified classes of hybrid systems that admit symbolic or finite models. The novelty of the book lies on the systematic presentation of these classes of hybrid systems along with the relationships between the hybrid systems and the corresponding symbolic models. To show how the existence of symbolic models can be used for verification and controller synthesis, the book also outlines several key results for the verification and controller design of finite systems. Several examples illustrate the different methods and techniques discussed in the book.