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Compilers: Principles, Techniques, and Tools (Englisch) Taschenbuch – 26. Juli 2013

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Compilers: Principles, Techniques and Tools, known to professors, students, and developers worldwide as the "Dragon Book," is available in a new edition. Every chapter has been completely revised to reflect developments in software engineering, programming languages, and computer architecture that have occurred since 1986, when the last edition published. The authors, recognizing that few readers will ever go on to construct a compiler, retain their focus on the broader set of problems faced in software design and software development. New chapters include: Chapter 10 Instruction-Level Parallelism Chapter 11 Optimizing for Parallelism and Locality Chapter 12 Interprocedural Analysis -- Dieser Text bezieht sich auf eine vergriffene oder nicht verfügbare Ausgabe dieses Titels.

Über den Autor und weitere Mitwirkende

Alfred V. Aho is Lawrence Gussman Professor of Computer Science at Columbia University. Professor Aho has won several awards including the Great Teacher Award for 2003 from the Society of Columbia Graduates and the IEEE John von Neumann Medal. He is a member of the National Academy of Engineering and a fellow of the ACM and IEEE. Monica S. Lam is a Professor of Computer Science at Stanford University, was the Chief Scientist at Tensilica and the founding CEO of moka5. She led the SUIF project which produced one of the most popular research compilers, and pioneered numerous compiler techniques used in industry. Ravi Sethi launched the research organization in Avaya and is president of Avaya Labs. Previously, he was a senior vice president at Bell Labs in Murray Hill and chief technical officer for communications software at Lucent Technologies. He has held teaching positions at the Pennsylvania State University and the University of Arizona, and has taught at Princeton University and Rutgers. He is a fellow of the ACM. Jeffrey Ullman is CEO of Gradiance and a Stanford W. Ascherman Professor of Computer Science at Stanford University. His research interests include database theory, database integration, data mining, and education using the information infrastructure. He is a member of the National Academy of Engineering, a fellow of the ACM, and winner of the Karlstrom Award and Knuth Prize. " -- Dieser Text bezieht sich auf eine vergriffene oder nicht verfügbare Ausgabe dieses Titels.

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Format: Gebundene Ausgabe Verifizierter Kauf
I just recently bought the new edition of the "dragon book" and it seems to be a really high quality book (being worth the spent money). Although I studied electrical engineering and did only have a brief understanding of compilers, the book provides a very good opportunity to learn more about the (partially quite theoretical) backgrounds of compilers. The writing style is very good to read. Furthermore, I like the mixture of theory and practical examples as provided by the book very much.
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This book doesn't help to get systematic, general, and consistent knowledge about how to design a new programming language or how to develop a new compiler. Authors tend to explain even the most simple things using a lot of words, making an illusion it's a complicated stuff.

After reading first chapters of this book, I have decided to stop and to search for another sources of explanation, and I found one very helpful, useful book "Engineering a Compiler" by Keith D. Cooper and Linda Torcson. Some passages below should give you a feeling of how different they are.

On Context-Free Grammars

1) from "Compilers. Principles, Techniques, and Tools":
[...]In this section, we introduce a notation - the "context-free grammar", or "grammar" for short - that is used to specify the syntax of a language. Grammars will be used throughout this book to organize compiler front ends.[...]

2) from "Engineering a Compiler":
[...]The traditional notation for expressing syntax is a grammar - a collection of
rules that define, mathematically, when a string of symbols is actually a sentence
in the language.
Computer scientists usually describe the syntactic structure of a language
using an abstraction called a context-free grammar (cfg). [...]
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 4.1 von 5 Sternen 107 Rezensionen
187 von 200 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Warmed over ghost of past excellence 18. Mai 2007
Von Jason Evans - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
I spent some serious quality time with the first edition (the "red dragon book"), in three main episodes over the past dozen years: 1) undergraduate compilers class, 2) industry project, and 3) parser generator implementation. During all three episodes, I was disappointed in various ways, though there is no denying that the book contains a wealth of information. As an undergraduate, I found the book somewhat impenetrable. When in industry, I found the book too abstract. When implementing a parser generator, I discovered that the book excludes important research results with regard to LR parser generation. It is the last disappointment that I will focus on.

The book presents parser generation in layers of increasing complexity, from SLR to LR to LALR, where LALR is presented as the penultimate algorithm, though LALR parsers can only handle a subset of the grammars that LR can handle. The justification for this is that the original Knuth LR algorithm is intractable for large grammars. However, an efficient, fully correct, approach for LR parser generation was published in 1977, and on top of that it appears easier to implement than efficient LALR parser generation! The red dragon book's original authors simply cannot have been unaware of this research result, but I suspect that they elected to warm over the "green dragon book" (published in 1977) rather than incorporate the state of the art as of 1986 into the "red dragon book". Now here we are another 20 years later, and as near as I can tell from reading through available online information, the "purple dragon book" is perpetuating this omission. The result of the red dragon book is that we have an entire generation of computer scientists who have been mislead to think that LALR is somehow superior to LR, and the purple dragon book is setting things up for yet another generation to be mislead.
66 von 68 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Outstanding reference for C, Fortran, and Pascal compilers 14. März 2000
Von Daniel Mall - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
During each compiler stage (lexical analysis, syntax analysis, translation, type checking, translation, code generation, and code optimization) multiple methods, strategies, and algorithms are presented. This comprehensive book examines items that are unique to the various languages presented (Fortran, C, and Pascal); there are even sections on dealing with estimation of types (10.12) and symbolic debugging of optimized code (10.13). Wow! The exercises are thorough, challenging, and thought provoking. Examples are interleaved with the discussion and algorithms. There is an excellent set of historical and bibliographic information at the end of each chapter. The use of automated tools such as lex, yacc, and compiler-generators is discussed throughout the text. This is an advanced book, however a good understanding of compilers can be obtained without understanding the details of every algorithm.
79 von 83 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen DO NOT BUY the kindle version - many errors! 14. Januar 2012
Von Erich Blume - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
Aho, Ullman et. al's "Compilers" is a fantastic book and well worth studying for all computer programmers - implementing a compiler compiler will yield tangental benefits to anyone who writes programs for a living or for fun.

However, the Amazon Kindle edition of this book is *awful*. First and foremost, I discovered at least one error in an algorithm that is not present in the standard edition that causes the book's proposed algorithms to be incorrect (in this case, it was algorithm 4.31 - in step 1, you should compute FIRST(alpha), not FIRST(A).)

On top of that, there are spacing issues and font issues throughout the book. It appears that in many places where the standard edition had a word separated across lines, the Kindle edition merely has that word split in two with a space between its halves. Worse, the font choice used to typeset algorithms doesn't easily distinguish many greek lowercase letters from their modern English equivalents, the result being that it is fiendishly difficult to understand some algorithms (the book uses greek letters to indicate a 'sentential form', so they appear a *lot* and tend to be right next to their modern equivalents.)

In other words, I would give Compilers (the Standard edition) a 5/5 (or maybe a 4/5 - it could stand to use a bit more real-world code), but this Kindle edition is rubbish and you SHOULD NOT BUY.
101 von 111 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen The reference book ... depending on your needs 19. April 2002
Von G. Avvinti - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
Once again, I want to point out the title of the book: "Principles, Techniques and Tools".
I think there are two kinds of compilers books available today: "Principles and Theory centered" ones and "Modern Compilers design and implementation" ones.
One might wonder what's the difference between the two.
The former kind is more suited for a course on theoretical aspects that lay the foundation of compiler construction. DFAs, NFAs and Regular expression along with relations and equivalence between the them; FSAs minimizations; grammars and Push-down FSAs in details, ambiguities and and how to cope with them; and so on.
This is what I mean for "theoretical aspects". And these topics are covered in great details in this book. Almost the same details they (the authors) placed on writing a more specific book as "Introduction to Automata Theory ...".
Same situation applies to principles on more application- oriented topics. Take the example of LR parsing. You can face the topic from a more theoretical side, dealing with details on bottom up parsing (still, it implies an in-depth knowledge of grammars theory), handles and (viable) prefixes, SLR or canonical LR or LALR parsers and techniques for the relative tables construction by hands (and for this, add a detailed and solid knowledge of Push-down FSAs along with grammars). By hands, at least, if principles are what matter in your course.
If you expect to find these topics (with this depth) in a book of the other kind, you might get mislead. As I did when I still had not clear this distinction, before I took the course.
The latter kind of books is more suited for a more pragmatic course. One where real, "modern" compilers are at hands, and probably written as homeworks. In this case, time being always limited in a university course, one (the instructor) will likely have to give up with those theoretical aspects (or just mention them) and focus on coding techniques and modern compiler studying. But ... perhaps, for these purposes books like Grune's "Modern Compiler Design", or Pittman's "Art of Compiler Design, The: Theory and Practice" or, at some degrees, Muchnick's "Advanced Compiler Design and Implementation" will be more suited.
Back to the LR parsing example, more pragmatic compilers design courses will (for time constraints) just have a glance on principles and spend a considerable time learning YACC. To do both things you would have to take a course on YACC alone (it requires time to exploit all of its advanced features, you can be sure of this).
All this said, once again: which is the best book ? The one that best fits your needs. And in fact, my needs were those of my course, which was completely centered on theoretical aspects. And for this course, the Dragon book (as it is better known since its cover) proved to be perfect, definitely no matter it was published on 1986: FSAs and grammars and their theory is (for all practical purposes) still the same since even before then.
50 von 54 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Excellent Introductory Compiler Text 29. September 1999
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
This is a comprehensive and easy to understand text. It covers all the fundamental stages of compiler design, with plenty of explanation (both practical and theoretical). It doesn't exhaustively cover every conceivable topic, but it does leave you with a good taste of what's involved. Of course, it is not a book for beginning programmers, and there are very few code examples. Judging by the comments of some reviewers, I would suspect that they gave poor reviews because they lacked the prerequisite background (familiarity with a good HLL like C, data structures, mathematical background etc). As with any 'advanced' topic in computer science, there is quite a lot expected from you. Upon first reading, some topics occasionally seem overwhelming. Welcome to Earth. This is where your library card comes in. Do a little research and then come back to this text; you'll find that it is well organized and extremely clear. If you want a cookbook this book isn't for you. If you want a solid understanding of compiler fundamentals then this book is your best bet.
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