Program analysis utilizes static techniques for computing reliable information about the dynamic behavior of programs. Applications include compilers (for code improvement), software validation (for detecting errors) and transformations between data representation (for solving problems such as Y2K). This book is unique in providing an overview of the four major approaches to program analysis: data flow analysis, constraint-based analysis, abstract interpretation, and type and effect systems. The presentation illustrates the extensive similarities between the approaches, helping readers to choose the best one to utilize.

A self-contained introduction to abstract interpretation–based static analysis, an essential resource for students, developers, and users. Static program analysis, or static analysis, aims to discover semantic properties of programs without running them. It plays an important role in all phases of development, including verification of specifications and programs, the synthesis of optimized code, and the refactoring and maintenance of software applications. This book offers a self-contained introduction to static analysis, covering the basics of both theoretical foundations and practical considerations in the use of static analysis tools. By offering a quick and comprehensive introduction for nonspecialists, the book fills a notable gap in the literature, which until now has consisted largely of scientific articles on advanced topics. The text covers the mathematical foundations of static analysis, including semantics, semantic abstraction, and computation of program invariants; more advanced notions and techniques, including techniques for enhancing the cost-accuracy balance of analysis and abstractions for advanced programming features and answering a wide range of semantic questions; and techniques for implementing and using static analysis tools. It begins with background information and an intuitive and informal introduction to the main static analysis principles and techniques. It then formalizes the scientific foundations of program analysis techniques, considers practical aspects of implementation, and presents more advanced applications. The book can be used as a textbook in advanced undergraduate and graduate courses in static analysis and program verification, and as a reference for users, developers, and experts.

Teaches readers how to test and analyze software to achieve an acceptable level of quality at an acceptable cost Readers will be able to minimize software failures, increase quality, and effectively manage costs Covers techniques that are suitable for near-term application, with sufficient technical background to indicate how and when to apply them Provides balanced coverage of software testing & analysis approaches By incorporating modern topics and strategies, this book will be the standard software-testing textbook

In this book we shall introduce four of the main approaches to program analysis: Data Flow Analysis, Control Flow Analysis, Abstract Interpretation, and Type and Effect Systems. Each of Chapters 2 to 5 deals with one of these approaches to some length and generally treats the more advanced material in later sections. Throughout the book we aim at stressing the many similarities between what may at a first glance appear to be very unrelated approaches. To help getting this idea across, and to serve as a gentle introduction, this chapter treats all of-the approaches at the level of examples. The technical details are worked-out but it may be difficult to apply the techniques to related examples until some of the material of later chapters have been studied.

The original program design text, this book is about programming for data processing applications, and it presents a coherent method and procedure for designing systems, programs, and components that are transparently simple and self evidently correct. The main emphasis is on the structure--on the dissection of a problem into parts and the arrangement of those parts to form a solution. Exercises and questions for discussion are given at the end of almost every chapter.

This Festschrift is in honor of Chris Hankin, Professor at the Imperial College in London, UK, on the Occasion of His 65th Birthday. Chris Hankin is a Fellow of the Institute for Security Science and Technology and a Professor of Computing Science. His research is in cyber security, data analytics and semantics-based program analysis. He leads multidisciplinary projects focused on developing advanced visual analytics and providing better decision support to defend against cyber attacks. This Festschrift is a collection of scientific contributions related to the topics that have marked the research career of Professor Chris Hankin. The contributions have been written to honour Chris' career and on the occasion of his retirement.

This Festschrift celebrates Chris Hankin's career and was written on the occasion of his retirement. The volume collects contributions from colleagues, collaborators, and friends on various research themes that have marked Chris career, namely Logic and Type Theory for Programming Languages; Program Analysis and Abstract Interpretation ; and Security, Privacy, and Cybersecurity. All these are areas in which Chris Hankin has made several important contributions including advances in semantics-based program analysis, probabilistic abstract interpretation, and cybersecurity for industrial control systems. Chris is also well known for co-authoring the book "Principles of Program Analysis", which is a popular reference for researchers and practitioners on static analysis techniques. He has led the Research Institute in Trustworthy Industrial Control Systems (RITICS) and the Institute for Security Science and Technology at Imperial College and contributed to several government initiatives