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    The Definitive ANTLR Reference: Building Domain-specific Languages (Pragmatic Programmers) (Paperback) By (author) Terence Parr

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    DescriptionANTLR v3 is the most powerful, easy-to-use parser generator built to date, and represents the culmination of more than 15 years of research by Terence Parr. This book is the essential reference guide to using this completely rebuilt version of ANTLR, with its amazing new LL(*) parsing technology, tree construction facilities, StringTemplate code generation template engine, and sophisticated ANTLRWorks GUI development environment. Learn to use ANTLR directly from the author! ANTLR is a parser generator-a program that generates code to translate a specified input language into a nice, tidy data structure. You might think that parser generators are only used to build compilers. But in fact, programmers usually use parser generators to build translators and interpreters for domain-specific languages such as proprietary data formats, common network protocols, text processing languages, and domain-specific programming languages. Domain-specific languages are important to software development because they represent a more natural, high fidelity, robust, and maintainable means of encoding a problem than simply writing software in a general-purpose language. For example, NASA uses domain-specific command languages for space missions to improve reliability, reduce risk, reduce cost, and increase the speed of development. Even the first Apollo guidance control computer from the 1960s used a domain-specific language that supported vector computations. This book is the definitive guide to using the completely rebuilt ANTLR v3 and describes all features in detail, including the amazing new LL(*) parsing technology, tree construction facilities, StringTemplate code generation template engine, and sophisticated ANTLRWorks GUI development environment. You'll learn all about ANTLR grammar syntax, resolving grammar ambiguities, parser fault tolerance and error reporting, embedding actions to interpret or translate languages, building intermediate-form trees, extracting information from trees, generating source code, and how to use the ANTLR Java API.


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    Title
    The Definitive ANTLR Reference
    Subtitle
    Building Domain-specific Languages
    Authors and contributors
    By (author) Terence Parr
    Physical properties
    Format: Paperback
    Number of pages: 376
    Width: 190 mm
    Height: 228 mm
    Thickness: 18 mm
    Weight: 594 g
    Language
    English
    ISBN
    ISBN 13: 9780978739256
    ISBN 10: 0978739256
    Classifications

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.2
    B&T Book Type: NF
    B&T Modifier: Region of Publication: 01
    B&T Modifier: Academic Level: 03
    B&T Modifier: Text Format: 01
    BIC subject category V2: UMX
    B&T General Subject: 227
    Warengruppen-Systematik des deutschen Buchhandels: 26330
    B&T Merchandise Category: COM
    Ingram Subject Code: XL
    Libri: I-XL
    BISAC V2.8: COM051010, COM059000, COM051280
    B&T Approval Code: A93603200
    BISAC V2.8: COM010000
    LC subject heading:
    DC22: 005.4/5, 005.45
    LC subject heading:
    B&T Approval Code: A93607000
    B&T Modifier: Subject Development: 29
    LC subject heading:
    LC classification: P98.5.P38 P37 2007
    LC subject heading:
    Thema V1.0: UMX
    Illustrations note
    Illustrations
    Publisher
    The Pragmatic Programmers
    Imprint name
    The Pragmatic Programmers
    Publication date
    05 June 2007
    Publication City/Country
    Raleigh
    Author Information
    Terence Parr is a professor of computer science and graduate program director at the University of San Francisco, where he continues to work on his ANTLR parser generator, http: //www.antlr.org. Terence has consulted for and held various technical positions at companies such as IBM, Lockheed Missiles and Space, NeXT, and Renault Automation. Terence holds a Ph.D. in computer engineering from Purdue University and was a postdoctoral fellow at the Army High-Performance Computing Research Center at the University of Minnesota, where he built parallelizing FORTRAN source-to-source translators.