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Roman Ivantsov, MCSD Software Architect, Tyler Technologies, Eden Division tylertech

Parsing with IRONY. http://www.codeplex.com/irony. Roman Ivantsov, MCSD Software Architect, Tyler Technologies, Eden Division www.tylertech.com roman.ivantsov@tylertech.com. Agenda Introduction and background Demo - Expression Grammar Inside Irony – internal architecture overview

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Roman Ivantsov, MCSD Software Architect, Tyler Technologies, Eden Division tylertech

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  1. Parsing with IRONY http://www.codeplex.com/irony Roman Ivantsov, MCSD Software Architect, Tyler Technologies, Eden Division www.tylertech.com roman.ivantsov@tylertech.com

  2. Agenda • Introduction and background • Demo - Expression Grammar • Inside Irony – internal architecture overview • Future plans

  3. Introduction • Name • Motivation - upgrade compiler construction technology. • Goal – make it easier and make it faster • Feature set – whatever Lex/Yacc can do and more • Method • All in c#: embedded Domain-Specific Language (DSL) for grammar specifications • No code generation: one-for-all LALR(1) Parser • Scanner construction from standard and custom token recognizers

  4. Demo • Grammar for Arithmetic Expressions • Grammar Explorer • Sample Grammars

  5. Irony Parsing Architecture Parsing Pipeline Source AST Tree Scanner Tokens Token Filter* Token Filter* Tokens+- Parser Terminals Parser State Graph Language Grammar Grammar Data (at startup) * - optional; standard or custom filter

  6. Grammar • Base class for language grammars • c# operator overloads defined in BnfElement class; Terminal and NonTerminal are derived from BnfElement • Helper methods for Kleene operators * + ?; list constructor with optional delimiters

  7. Scanner • OOP-style micro-framework for building custom scanners from standard and custom Terminals • Terminal is a token recognizer • Highly-optimized for performance • Ignores whitespace; new-line, indent and unindent tokens are created in token filter if necessary Source Tokens Scanner Identifier Language Grammar Number StringLiteral

  8. Token Filters • Sit between Scanner and Parser • Perform language-specific tasks: • Code outlining - create NewLine, Indent, Unindent, EndOfStatement tokens • Commented-out blocks • Macro-expansion • Checking matching pairs of braces/parenthesis • Handling XML documentation

  9. Parser • LALR(1) algorithm controlled by State Graph built at startup • AST node type determined by NodeType property of NonTerminal in language grammar. • Customization • Custom AST nodes • Factory methods for node creation • Public events and overridable methods in grammar

  10. Highlights • It works! • Easier to use, expect shorter implementation time • High performance: 10..20 K lines/second • High code reuse – reusable terminals, token filters, AST nodes • No generated code => higher code quality + easier to maintain

  11. Future Development • Completing features for 1.0 release (est. Feb 2008) • Create a set of standard AST nodes • Extending to LALR(1.5) parser – with extra token preview • Create basic infrastructure for building interpreters • Build Runtime • Extensible Object Model (Piumarta, Warth) • Type model (yes, wrappers!) • Simple scripting language(s) for testing

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