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Build Your Own Programming Language

Build Your Own Programming Language

By : Clinton L. Jeffery
4.4 (17)
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Build Your Own Programming Language

Build Your Own Programming Language

4.4 (17)
By: Clinton L. Jeffery

Overview of this book

The need for different types of computer languages is growing rapidly and developers prefer creating domain-specific languages for solving specific application domain problems. Building your own programming language has its advantages. It can be your antidote to the ever-increasing size and complexity of software. In this book, you’ll start with implementing the frontend of a compiler for your language, including a lexical analyzer and parser. The book covers a series of traversals of syntax trees, culminating with code generation for a bytecode virtual machine. Moving ahead, you’ll learn how domain-specific language features are often best represented by operators and functions that are built into the language, rather than library functions. We’ll conclude with how to implement garbage collection, including reference counting and mark-and-sweep garbage collection. Throughout the book, Dr. Jeffery weaves in his experience of building the Unicon programming language to give better context to the concepts where relevant examples are provided in both Unicon and Java so that you can follow the code of your choice of either a very high-level language with advanced features, or a mainstream language. By the end of this book, you’ll be able to build and deploy your own domain-specific languages, capable of compiling and running programs.
Table of Contents (25 chapters)
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1
Section 1: Programming Language Frontends
7
Section 2: Syntax Tree Traversals
13
Section 3: Code Generation and Runtime Systems
21
Section 4: Appendix

Implementing operators

Operators are expressions that compute a value. Simple operators that compute their results via a few instructions on the underlying machine were covered in the preceding chapters. This section describes how to implement an operator that takes many steps. You can call these operators composite operators. In this case, the underlying generated code may perform calls to functions in the underlying machine.

The functions called from generated code are written in the implementation language rather than the source language. They may be lower level and do things that are impossible in the source language. For example, parameter passing rules might be different in the implementation language than they are in the programming language that you are creating.

If you are wondering when you should make a new computation into an operator, you can refer to Chapter 2, Programming Language Design. Rather than repeat that material, we will just note that operators are generally...

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