Xavier Rival

Kenneth McMillan

This book constitutes the refereed proceedings of the 15th International Conference on Verification, Model Checking and Abstract Interpretation, VMCAI 2014, held in San Diego, CA, USA, in January 2013. The 25 revised full papers presented were carefully reviewed and selected from 64 submissions. The papers cover a wide range of topics including program verification, model checking, abstract interpretation and abstract domains, program synthesis, static analysis, type systems, deductive methods, program certification, debugging techniques, program transformation, optimization, hybrid and cyber-physical systems.

15th International Conference, VMCAI 2014, San Diego, CA, USA, January 19-21, 2014, Proceedings

Verification, Model Checking, and Abstract Interpretation

This book constitutes the refereed proceedings of the 23rd International Static Analysis Symposium, SAS 2016, held in Edinburgh, UK, in September 2016. The 21 papers presented in this volume were carefully reviewed and selected from 55 submissions. The contributions cover a variety of multi-disciplinary topics in abstract domains; abstract interpretation; abstract testing; bug detection; data flow analysis; model checking; new applications; program transformation; program verification; security analysis; theoretical frameworks; and type checking.

23rd International Symposium, SAS 2016, Edinburgh, UK, September 8-10, 2016, Proceedings

Static Analysis

Kwangkeun Yi

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.

Xavier Rival

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