首选语言:C/ c++、Java、Ruby。
我正在寻找一些关于如何编写自己的编译器的有用书籍/教程,只是为了教育目的。我最熟悉C/ c++、Java和Ruby,所以我更喜欢包含这三者之一的资源,但任何好的资源都是可以接受的。
首选语言:C/ c++、Java、Ruby。
我正在寻找一些关于如何编写自己的编译器的有用书籍/教程,只是为了教育目的。我最熟悉C/ c++、Java和Ruby,所以我更喜欢包含这三者之一的资源,但任何好的资源都是可以接受的。
当前回答
创建编译器的一个简单方法是使用bison和flex(或类似),构建一个树(AST)并用C生成代码,生成C代码是最重要的步骤。通过生成C代码,您的语言将自动在所有具有C编译器的平台上运行。
生成C代码就像生成HTML一样简单(只需使用打印或等效工具),这又比编写C解析器或HTML解析器容易得多。
其他回答
Python附带了一个用Python编写的Python编译器。您可以看到源代码,它包括从解析、抽象语法树、发出代码等所有阶段。 破解它。
“让我们构建一个编译器”是很棒的,但它有点过时了。(我并不是说这让它变得不那么有效。)
或者看看俚语。这类似于“让我们构建一个编译器”,但对于初学者来说是一个更好的资源。这是一个pdf教程,需要7步的方法来教你一个编译器。添加quora链接,因为它有各种各样的俚语端口的链接,在c++, Java和JS中,也有python和Java中的解释器,最初是用c#和。net平台编写的。
The Dragon Book is too complicated. So ignore it as a starting point. It is good and makes you think a lot once you already have a starting point, but for starters, perhaps you should simply try to write an math/logical expression evaluator using RD, LL or LR parsing techniques with everything (lexing/parsing) written by hand in perhaps C/Java. This is interesting in itself and gives you an idea of the problems involved in a compiler. Then you can jump in to your own DSL using some scripting language (since processing text is usually easier in these) and like someone said, generate code in either the scripting language itself or C. You should probably use flex/bison/antlr etc to do the lexing/parsing if you are going to do it in c/java.
最快的方法是读两本书:
JP Bennett的1990版《编译技术介绍,使用ANSI C, LeX和YaCC的第一课程》-示例代码,解析理论和设计的完美平衡-它包含了一个用C, LeX和YaCC编写的简单语法的完整编译器
龙书(旧版本)-主要是一个详细的参考功能没有涵盖在前一本书
I think Modern Compiler Implementation in ML is the best introductory compiler writing text. There's a Java version and a C version too, either of which might be more accessible given your languages background. The book packs a lot of useful basic material (scanning and parsing, semantic analysis, activation records, instruction selection, RISC and x86 native code generation) and various "advanced" topics (compiling OO and functional languages, polymorphism, garbage collection, optimization and single static assignment form) into relatively little space (~500 pages).
我更喜欢《现代编译器实现》而不是《Dragon》,因为《现代编译器实现》对该领域的调查较少——相反,它确实涵盖了编写一个严肃、体面的编译器所需的所有主题。在你读完这本书之后,如果你需要的话,你就可以直接深入研究论文了。
I must confess I have a serious soft spot for Niklaus Wirth's Compiler Construction. It is available online as a PDF. I find Wirth's programming aesthetic simply beautiful, however some people find his style too minimal (for example Wirth favors recursive descent parsers, but most CS courses focus on parser generator tools; Wirth's language designs are fairly conservative.) Compiler Construction is a very succinct distillation of Wirth's basic ideas, so whether you like his style or not or not, I highly recommend reading this book.