Introduction to Static Analysis: An Abstract Interpretation Perspective

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Xavier Rival (Research Director, INRIA Paris-Rocquencourt) Kwangkeun Yi (Professor, Seoul National University)

Introduction to Static Analysis

An Abstract Interpretation Perspective

Xavier Rival (Research Director, INRIA Paris-Rocquencourt), Kwangkeun Yi (Professor, Seoul National University)

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English

MIT Press
11 February 2020

Mathematical & statistical software; Software testing & verification

Series: The MIT Press

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.

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.

By: Xavier Rival (Research Director INRIA Paris-Rocquencourt), Kwangkeun Yi (Professor, Seoul National University)
Imprint: MIT Press
Country of Publication: United States
Dimensions: Height: 229mm, Width: 178mm, Spine: 19mm
ISBN: 9780262043410
ISBN 10: 0262043416
Series: The MIT Press
Pages: 320
Publication Date: 11 February 2020
Recommended Age: From 18 to 99 years
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Active

Xavier Rival is Research Director at INRIA Paris and head of the research group on static analysis at Ecole Normale Superieure/CNRS/INRIA/PSL Kwangkeun Yi is Professor in the Department of Computer Science & Engineering at Seoul National University and head of its Programming Research Laboratory.