Describes a small verification library with a concentration on user adaptability such as re-useable components, portable Intellectual Property, and co-verification. Takes a realistic view of reusability and distills lessons learned down to a tool box of techniques and guidelines.

Based on the highly successful second edition, this extended edition of SystemVerilog for Verification: A Guide to Learning the Testbench Language Features teaches all verification features of the SystemVerilog language, providing hundreds of examples to clearly explain the concepts and basic fundamentals. It contains materials for both the full-time verification engineer and the student learning this valuable skill. In the third edition, authors Chris Spear and Greg Tumbush start with how to verify a design, and then use that context to demonstrate the language features, including the advantages and disadvantages of different styles, allowing readers to choose between alternatives. This textbook contains end-of-chapter exercises designed to enhance students’ understanding of the material. Other features of this revision include: New sections on static variables, print specifiers, and DPI from the 2009 IEEE language standard Descriptions of UVM features such as factories, the test registry, and the configuration database Expanded code samples and explanations Numerous samples that have been tested on the major SystemVerilog simulators SystemVerilog for Verification: A Guide to Learning the Testbench Language Features, Third Edition is suitable for use in a one-semester SystemVerilog course on SystemVerilog at the undergraduate or graduate level. Many of the improvements to this new edition were compiled through feedback provided from hundreds of readers.

Model checking is a computer-assisted method for the analysis of dynamical systems that can be modeled by state-transition systems. Drawing from research traditions in mathematical logic, programming languages, hardware design, and theoretical computer science, model checking is now widely used for the verification of hardware and software in industry. The editors and authors of this handbook are among the world's leading researchers in this domain, and the 32 contributed chapters present a thorough view of the origin, theory, and application of model checking. In particular, the editors classify the advances in this domain and the chapters of the handbook in terms of two recurrent themes that have driven much of the research agenda: the algorithmic challenge, that is, designing model-checking algorithms that scale to real-life problems; and the modeling challenge, that is, extending the formalism beyond Kripke structures and temporal logic. The book will be valuable for researchers and graduate students engaged with the development of formal methods and verification tools.

There are already many books on formal verification, from academic to application-centric, and from tutorials for beginners to guides for advanced users. Many are excellent for their intended purpose; we recommend a few at the end of this book. But most start from the assumption that you have already committed to becoming a hands-on expert (or in some cases that you already are an expert). We feel that detailed tutorials are not the easiest place to extract the introductory view many of us are looking for - background, a general idea of how methods work, applications and how formal verification is managed in the overall verification objective. Since we're writing for a fairly wide audience, we cover some topics that some of you may consider elementary (why verification is hard), some we hope will be of general interest (elementary understanding of the technology) and others that may not immediately interest some readers (setting up a formal verification team). What we intentionally do not cover at all is how to become a hands-on expert.

Since the last edition of this book 61/2 years ago, worksite enforcement has surged at both federal and state levels. By 2024, 26 states have enacted employer sanctions laws, with nine mandating E-Verify for all eligible employers and 12 requiring it for contractors engaged in state or local government projects. Other states have implemented immigration laws pertaining to employers, some without E-Verify requirements. Companies now face severe penalties, such as license revocation and contract denial, if found hiring unauthorized workers. The enforcement of employer sanctions and anti-discrimination regulations under the Immigration Reform and Control Act (IRCA) falls under the jurisdiction of two agencies: U.S. Immigration and Customs Enforcement (ICE) and the Immigrant and Employee Rights Section of the Civil Rights Division at the Department of Justice. Compliance with these regulations is mandatory for employers. However, navigating these laws has become increasingly intricate for today's employers, with further complexity anticipated. The I-9 and E-Verify Handbook aims to streamline this convoluted process, aiding human resource professionals, immigration advisors, and others in guiding employers through these challenging immigration regulations. The authors, Bruce E. Buchanan and Greg Siskind, discuss the array of statutes and regulations in an easy-to-understand, question-and-answer format with straightforward illustrations, flowcharts, checklists, and sample documents designed to help implement and improve an employer's immigration compliance program.

When you combine the sheer scale and range of digital information now available with a journalist’s "nose for news" and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field. This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both. Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizations Explore in-depth case studies on elections, riots, school performance, and corruption Learn how to find data from the Web, through freedom of information laws, and by "crowd sourcing" Extract information from raw data with tips for working with numbers and statistics and using data visualization Deliver data through infographics, news apps, open data platforms, and download links