GRAD

Table of Contents

Grammar-based Rapid Application Development (GRAD)

• • • Abstract

• Section 1 - Introduction
  • 1.1 I/O and Control Schemes
    1.2 Early Executive Attempts
    1.3 The Python Option
    1.4 Acknowledgments
  Section 2 - Design Decisions
  • 2.1 A true parser based on a grammar for the legacy language is required.
    2.2 The system should work with multiple languages.
    2.3 Only public interfaces are supported.
    2.4 The legacy code should not be dependent upon the GRAD interface.
    2.5 Generation of the interface should be automatic from the source code.
    2.6 The interface generator should produce an intermediate language from which code is emitted.
    2.7 Python becomes the application development language utilizing core software written in multiple languages.
  Section 3 - Supplanting Application Specific I/O Schemes
  Section 4 - GRAD System Overview
  • 4.1 The Compiler Generator
    4.2 The Interface Generator
    4.3 Level of Interface Abstraction
    4.4 Usage
  Section 5 - Testing Automation
  Section 6 - Comparable Approaches
  • 6.1 SWIG
    6.2 Header2Scheme
    6.3 FFIGEN (Foreign Function Interface GENerator)
  Section 7 - Concluding Remarks
  Section 8 - References
  • • Compiler Generation
      Usage
      Interface Generation
    Figure 3. GRAD Generation and Data Flows
    • Program
      Program
    Figure 1. Simple I/O Scheme
    Figure 2. I/O Scheme with Restart

• Appendix A - Example Interface for a C++ Class
  • • Vector.h
      Vector.C
      Vector.py
      VECTOR_python.C
      _GLOBAL_.py
      LogFile