Principles of Program Analysis

Flemming Nielson

ISBN 10: 3540654100 / ISBN 13: 9783540654100

Published by Springer, Springer, 1999

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Program analysis concerns static techniques for computing reliable approximate information about the dynamic behaviour of programs. Applications include compilers (for code improvement), software validation (for detecting errors in algorithms or breaches of security) and transformations between data representation (for solving problems such as the Y2K problem). This book is unique in giving 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 demonstrates the extensive similarities between the approaches; this will aid the reader in choosing the right approach and in enhancing it with insights from the other approaches. The book covers basic semantic properties as well as more advanced algorithmic techniques. The book is aimed at M.Sc. and Ph.D. students but will be valuable also for experienced researchers and professionals.

Seller Inventory # 9783540654100

Bibliographic Details

• Title: Principles of Program Analysis
• Publisher: Springer, Springer
• Publication Date: 1999
• Language: English
• ISBN 10: 3540654100
• ISBN 13: 9783540654100
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 32D millimeters 240 millimeters width by 161 millimeters height by 32 millimeters depth
• Weight: 883 grams

About this title

Synopsis

Program analysis concerns static techniques for computing reliable approximate information about the dynamic behaviour of programs. Applications include compilers (for code improvement), software validation (for detecting errors in algorithms or breaches of security) and transformations between data representation (for solving problems such as the Y2K problem). This book is unique in giving 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 demonstrates the extensive similarities between the approaches; this will aid the reader in choosing the right approach and in enhancing it with insights from the other approaches. The book covers basic semantic properties as well as more advanced algorithmic techniques. The book is aimed at M.Sc. and Ph.D. students but will be valuable also for experienced researchers and professionals.