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
每当我想尝试一种新的语言想法时,我就写一个简单的解析器,让它生成一些容易获得良好编译器的语言,比如C。
你认为c++是如何完成的?
其他回答
龙之书绝对是关于“构建编译器”的书,但是如果您的语言不像当前这一代语言那么复杂,那么您可能想看看设计模式中的解释器模式。
书中的示例设计了一种类似正则表达式的语言,并且经过了深思熟虑,但正如书中所述,它有助于思考整个过程,但实际上只在小型语言上有效。然而,用这种模式为一种小型语言编写解释器要快得多,而不必学习所有不同类型的解析器,yacc和lex等等……
如果你像我一样,没有受过正规的计算机科学教育,并且对 构建/想知道编译器是如何工作的:
我推荐“Java编程语言处理器:编译器和解释器”, 对于自学成才的计算机程序员来说,这是一本令人惊叹的书。
在我看来,理解那些基本的语言理论、自动化机器和集合理论并不是什么大问题。问题是如何把这些东西转换成代码。上面的书告诉您如何编写解析器、分析上下文和生成代码。如果你不能理解这本书,那么我不得不说,放弃构建编译器吧。这本书是我读过的最好的编程书。
还有一本书,也很好,《c语言编译器设计》,里面有很多代码,告诉你如何构建编译器和词法分析器工具。
构建编译器是一种有趣的编程实践,可以教会您许多编程技能。
不要买龙的书。这是浪费金钱和时间,不适合从业者。
Not included in the list so far is this book: Basics of Compiler Design (Torben Mogensen) (from the dept. of Computer Science, University of Copenhagen) I'm also interested in learning about compilers and plan to enter that industry in the next couple of years. This book is the ideal theory book to begin learning compilers as far as I can see. It's FREE to copy and reproduce, cleanly and carefully written and gives it to you in plain English without any code but still presents the mechanics by way of instructions and diagrams etc. Worth a look imo.
我同意龙书的参考;IMO,它是编译器构造的权威指南。准备好接受一些核心理论吧。
If you want a book that is lighter on theory, Game Scripting Mastery might be a better book for you. If you are a total newbie at compiler theory, it provides a gentler introduction. It doesn't cover more practical parsing methods (opting for non-predictive recursive descent without discussing LL or LR parsing), and as I recall, it doesn't even discuss any sort of optimization theory. Plus, instead of compiling to machine code, it compiles to a bytecode that is supposed to run on a VM that you also write.
这仍然是一本不错的读物,尤其是如果你能在亚马逊上以便宜的价格买到的话。如果你只想简单介绍编译器,《Game Scripting Mastery》是个不错的选择。如果你想先玩硬核游戏,那么你应该选择《龙之书》。
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.