Book Image

Build Your Own Programming Language

By : Clinton L. Jeffery
Book Image

Build Your Own Programming Language

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)
1
Section 1: Programming Language Frontends
7
Section 2: Syntax Tree Traversals
13
Section 3: Code Generation and Runtime Systems
21
Section 4: Appendix

Runtime type checks and type inference in Unicon

The Unicon language handles types a lot differently than the Jzero type system described in this chapter. In Unicon, types are not associated with declarations but with actual values. The Unicon virtual machine code generator does not place type information in symbol tables or do compile-time type checking. Instead, types are represented explicitly at runtime and checked everywhere before a value is used. Explicitly representing type information at runtime is common in interpreted and object-oriented languages, and optional in some semi-object-oriented languages such as C++.

Consider the write() Unicon function. Every argument to write() that isn't a file specifying where to write to must be a string, or be able to be converted into a string. In the Unicon virtual machine, the type information is created and checked at runtime as needed. The pseudocode for the Unicon write() function looks like this:

for (n = 0; n < nargs...