Rating: 
Summary: Valuable resource of Information and good practices
Review: A valuable resource for best practices, do's and don'ts, what works and why, what you should do in various situations of project, code, and architecture evaluation, and everything in between. In one phrase, this book depicts Software Engineering's best practices for the real world. No heavy-duty processes to follow, no reading of Software Engineering text books that are over a 1000+ pages. More importantly, everything in this book is REAL. References are given to open source projects where the author took the examples from, and the CD-Rom includes the complete code examples given in the text. The author starts off by giving a background on the most popular programming languages used in the open-source community such as C/C++ and Java. Some scripting languages such as a PHP and Perl are also covered, but the main focus of the book is on C and C++. Data types, data structures and control flow are covered respectively and various best practiced of "what to-do" is given for each topic. These topics are somewhat basic, and if you are an advanced programmer, you can read thru these chapters in an hour or so. Even though these chapters are basic, they contain valuable to-do's and best practices that everyone of us will surly benefit from. They style of the book and its structure is nothing like I have seen before and it takes a couple of chapter to get used to it. Chapter 4 is one of my favorite chapters in this book. It talks about C Data Structures. Towards the end of the chapter, the author talks about Graphs and Trees. These two rather complex topics (books have been written on these two topics) are covered so well that with about 20 pages, the reader can get a very good understanding of the topics at hand. Concrete examples from various open-source projects are used again to get the point across, and the source code that is on the CD-Rom is reusable with little effort. The fun begins with chapter 5, Advanced Control Flow. Recursion, exception handling, parallel programming and non-local jumps are the main topics covered in this section. Again, the sample codes really help the reader to understand the topic better, and they also can be refereed to in your next project - something I found very beneficial. Another interesting thing about this chapter is the part that compares the different thread implementation in various languages and platforms - Java, Win32 and POSIX. Example from each implementation is given to show the reader the difference in practices and to get the point across more clearly. If you have ever been bored to death by reading books on Software Engineering and Software Processes and just wanted to be able to have a very light and proven process to help you out with your next project, then Chapter 6 - Tackling Large Projects, is for you. The author starts the chapter by going over some of the design and implementation techniques used widely in large projects such as:
· The need for a software process
· Complex Architecture
· The need to support multiple platforms
· The use of OO techniques
· Operator overloading techniques when appropriate
· The need for Libraries, Components and Processes
· The need for custom languages and tools
· The use of pre-processing for portability and other reasons Some or all of these methods are needed in large software projects, and author goes into detail in chapter 6 to cover how these tasks can be accomplished efficiently and proactively throughout the project life cycle. The author starts by going over Project Organization such as directory structure and source tree organization to the build process to revision control for future releases and end the chapter with a topic on testing of software applications. The next two chapters, Coding Standards and Documentation are simply priceless. In about 40 or so pages, the author is able to cram over twenty years of best practices in coding standards and documentation techniques. I have never read a book that covered these two topics so well. If you are a project lead, you can simply take these two chapters and use them in your next project because you will not find anything better elsewhere. The biggest and the most imperative chapter in this book is Chapter 9, Architecture. Various architectural patterns are covered. Each pattern includes a list of projects in the open-source community where it was applied and was proven successful. The author then goes into various Control Models that are used in the industry such as:
· Event Driven Systems
· System Manager
· State Transition
And examples of each of these Control Models along with code samples are given. Various packaging methods and schemes such as namespaces, modules, objects, generic programming, Abstract Data Types and libraries are also depicted in this chapter. Chapter 9 is the longest chapter in this book, but also the most informative one. D. Spinellis did a great job putting this book together. This book is packed with examples, best practices and information that are useful to developers, project leads and managers. Now you can have all the experience of the open-source community, the people that developed Linux, Apache and other popular software applications, at the tip of your finger.
Rating:
Summary: Valuable resource of Information and good practices
Review: A valuable resource for best practices, do's and don'ts, what works and why, what you should do in various situations of project, code, and architecture evaluation, and everything in between. In one phrase, this book depicts Software Engineering's best practices for the real world. No heavy-duty processes to follow, no reading of Software Engineering text books that are over a 1000+ pages. More importantly, everything in this book is REAL. References are given to open source projects where the author took the examples from, and the CD-Rom includes the complete code examples given in the text. The author starts off by giving a background on the most popular programming languages used in the open-source community such as C/C++ and Java. Some scripting languages such as a PHP and Perl are also covered, but the main focus of the book is on C and C++. Data types, data structures and control flow are covered respectively and various best practiced of "what to-do" is given for each topic. These topics are somewhat basic, and if you are an advanced programmer, you can read thru these chapters in an hour or so. Even though these chapters are basic, they contain valuable to-do's and best practices that everyone of us will surly benefit from. They style of the book and its structure is nothing like I have seen before and it takes a couple of chapter to get used to it. Chapter 4 is one of my favorite chapters in this book. It talks about C Data Structures. Towards the end of the chapter, the author talks about Graphs and Trees. These two rather complex topics (books have been written on these two topics) are covered so well that with about 20 pages, the reader can get a very good understanding of the topics at hand. Concrete examples from various open-source projects are used again to get the point across, and the source code that is on the CD-Rom is reusable with little effort. The fun begins with chapter 5, Advanced Control Flow. Recursion, exception handling, parallel programming and non-local jumps are the main topics covered in this section. Again, the sample codes really help the reader to understand the topic better, and they also can be refereed to in your next project - something I found very beneficial. Another interesting thing about this chapter is the part that compares the different thread implementation in various languages and platforms - Java, Win32 and POSIX. Example from each implementation is given to show the reader the difference in practices and to get the point across more clearly. If you have ever been bored to death by reading books on Software Engineering and Software Processes and just wanted to be able to have a very light and proven process to help you out with your next project, then Chapter 6 - Tackling Large Projects, is for you. The author starts the chapter by going over some of the design and implementation techniques used widely in large projects such as:
· The need for a software process
· Complex Architecture
· The need to support multiple platforms
· The use of OO techniques
· Operator overloading techniques when appropriate
· The need for Libraries, Components and Processes
· The need for custom languages and tools
· The use of pre-processing for portability and other reasons Some or all of these methods are needed in large software projects, and author goes into detail in chapter 6 to cover how these tasks can be accomplished efficiently and proactively throughout the project life cycle. The author starts by going over Project Organization such as directory structure and source tree organization to the build process to revision control for future releases and end the chapter with a topic on testing of software applications. The next two chapters, Coding Standards and Documentation are simply priceless. In about 40 or so pages, the author is able to cram over twenty years of best practices in coding standards and documentation techniques. I have never read a book that covered these two topics so well. If you are a project lead, you can simply take these two chapters and use them in your next project because you will not find anything better elsewhere. The biggest and the most imperative chapter in this book is Chapter 9, Architecture. Various architectural patterns are covered. Each pattern includes a list of projects in the open-source community where it was applied and was proven successful. The author then goes into various Control Models that are used in the industry such as:
· Event Driven Systems
· System Manager
· State Transition
And examples of each of these Control Models along with code samples are given. Various packaging methods and schemes such as namespaces, modules, objects, generic programming, Abstract Data Types and libraries are also depicted in this chapter. Chapter 9 is the longest chapter in this book, but also the most informative one. D. Spinellis did a great job putting this book together. This book is packed with examples, best practices and information that are useful to developers, project leads and managers. Now you can have all the experience of the open-source community, the people that developed Linux, Apache and other popular software applications, at the tip of your finger.
Rating: 
Summary: Piece of Junk
Review: DO NOT BUY THIS BOOK. You'd be better off buying a good book on C programming. You can get all the source code provided on the CDROM on the internet. There are code fragments, incomplete, which the author uses to explain the concept of C programming. Just a rip off!!! The sample chapter on aw is the only worth reading. Go search for other resources. Save your $ for some other good book.
Rating: 
Summary: Second year book?
Review: I felt that this book was somewhat remedial and that more experienced programmers might be more well served by a book like Kernighan and Pikes "Practice of programming" and Sedgewicks's "Algorithms".
Rating: 
Summary: great insights from practical experience
Review: i like this book a lot. by touring various pieces of source code (focusing on NetBSD, an open source version of BSD), we get to see what's happening and why. yes, this is a collection of fragments of code, and it's not going to teach you anything about the language. but what it will teach you is how to write better code. this comes through observing what others have done, how it works and why it works, and how things stand up to the test of time (and lots of eyes). i would say that this book is a good complement to the classic "the practice of programming", also on addison-wesley. in both you'll learn how to go beayond just laying down what you learned from a C textbook and actually develop as a programmer. this one takes a far more practical approach, and highlights a lot of things that TPoP glosses over (in order to focus on other material). i've been writing a lot of code for projects large and small, and i found i learned some things from this book. definitely a good book for someone looking to improve their development efforts beyond just knowing how to write code.
Rating:
Summary: Cool concept, but disappointing
Review: I purchased the book to help me out with the recurring task of quickly understanding the nature of unfamiliar large software projects. Kudos to Mr. Spinellis for tackling this subject, which is a large part of the everyday work of programming. Unfortunately, I feel that this book was of very limited use to me as an experienced programmer, and suffers from a rather basic flaw (as a topic). The problem is that the art of code reading is really the intersection of a deep and/or broad understanding of programming, in conjunction with a deep and/or broad understanding of the tools and practices employed. One could well assert that this book is about *debugging* unfamiliar codebases as much as it is about *reading* them, since code comprehension is a component of code debugging. This is a rather apt analogy, since many have attempted to describe the black art of debugging just as Mr. Spinellis has attempted with reading, and with no definitive "must-have" coverage to date. The result is that I felt the book rushed through important programming concepts that were either extremely basic (global variables, while loops, conditionals, blocks), or language-specific (C typedef, arrays, function pointers), or too deep for the book to address adequately (trees, stacks, queues, hashes, graphs). With regard to the latter, I found it odd to be reading a lot of text about basic data structures, when it seemed to me that I should be assumed to already have this knowledge if I wanted to read code that used it. And if I did NOT know about basic data structures, I should be reading a book about data structures rather than a book about code reading. Software patterns are also presented (though not by the name, I think). If I was to encounter a codebase that employed some programming concept I didn't understand fully (for example, red-black trees), then I would first go to a book on data structures -- not a book on code reading. Following the sections on what I would consider mandatory prerequisite understanding are some brief chapters software engineering concepts (version control, build systems, project organization, packaging, system structures), which might be useful to a reader who had never worked on a large-scale project before. After all of the coverage of what I would consider prerequisite knowledge, the penultimate chapter finally gets to the topic of tools and techniques for actually reading code. This chapter is in fact what I had hoped Mr. Spinellis would devote the book to. Unfortunately, most of the tools and techniques presented are very basic and quickly encountered by any programmer: regular expressions, that many editors include browsing support, the <i>grep</i> utility, differencing tools, that you could write your own tools, using the compiler to emit warnings and preprocessed code, that beautifiers exist, profiling and annotating printouts. And that's it, in about forty pages, followed by a chapter devoted to an example session. On the whole, I think this book comes up short. If you have a few years of programming experience under your belt, then you've already encountered the basis tools and techniques presented. If someone resorted to this book to learn about a basic programming construct, then they could read my code, but I'd be nervous about letting them modify it, until they read more focused texts. I'm rating this book at three stars because there are some good pieces here and the effort was laudable. In the end, though, I really don't think that anybody needs this book on their shelf.
Rating:
Summary: Cool concept, but disappointing
Review: I purchased the book to help me out with the recurring task of quickly understanding the nature of unfamiliar large software projects. Kudos to Mr. Spinellis for tackling this subject, which is a large part of the everyday work of programming. Unfortunately, I feel that this book was of very limited use to me as an experienced programmer, and suffers from a rather basic flaw (as a topic). The problem is that the art of code reading is really the intersection of a deep and/or broad understanding of programming, in conjunction with a deep and/or broad understanding of the tools and practices employed. One could well assert that this book is about *debugging* unfamiliar codebases as much as it is about *reading* them, since code comprehension is a component of code debugging. This is a rather apt analogy, since many have attempted to describe the black art of debugging just as Mr. Spinellis has attempted with reading, and with no definitive "must-have" coverage to date. The result is that I felt the book rushed through important programming concepts that were either extremely basic (global variables, while loops, conditionals, blocks), or language-specific (C typedef, arrays, function pointers), or too deep for the book to address adequately (trees, stacks, queues, hashes, graphs). With regard to the latter, I found it odd to be reading a lot of text about basic data structures, when it seemed to me that I should be assumed to already have this knowledge if I wanted to read code that used it. And if I did NOT know about basic data structures, I should be reading a book about data structures rather than a book about code reading. Software patterns are also presented (though not by the name, I think). If I was to encounter a codebase that employed some programming concept I didn't understand fully (for example, red-black trees), then I would first go to a book on data structures -- not a book on code reading. Following the sections on what I would consider mandatory prerequisite understanding are some brief chapters software engineering concepts (version control, build systems, project organization, packaging, system structures), which might be useful to a reader who had never worked on a large-scale project before. After all of the coverage of what I would consider prerequisite knowledge, the penultimate chapter finally gets to the topic of tools and techniques for actually reading code. This chapter is in fact what I had hoped Mr. Spinellis would devote the book to. Unfortunately, most of the tools and techniques presented are very basic and quickly encountered by any programmer: regular expressions, that many editors include browsing support, the grep utility, differencing tools, that you could write your own tools, using the compiler to emit warnings and preprocessed code, that beautifiers exist, profiling and annotating printouts. And that's it, in about forty pages, followed by a chapter devoted to an example session. On the whole, I think this book comes up short. If you have a few years of programming experience under your belt, then you've already encountered the basis tools and techniques presented. If someone resorted to this book to learn about a basic programming construct, then they could read my code, but I'd be nervous about letting them modify it, until they read more focused texts. I'm rating this book at three stars because there are some good pieces here and the effort was laudable. In the end, though, I really don't think that anybody needs this book on their shelf.
Rating:
Summary: Easy to read, worth checking out for some
Review: I stumbled upon this book when I was at the book store and picked it up without ever reading a review or seeing any kind of Internet press about it and was very surprised at what I found. Writing a book about disecting code and getting the most out of it could be very useful to some, invaluable to the novice programmer. Although some techniques in the book are a bit over emphasized, I felt that the writing and the organization of the book was excellent. This book leaned on C code and Unix/Linux environments quite heavily so if you are unfamiliar with them then you may find it difficult to understand. It's a book about the process of reading code and not so much a book about teaching you how to code. Which is probably why it's called Code Reading.
Rating:
Summary: Easy to read, worth checking out for some
Review: I stumbled upon this book when I was at the book store and picked it up without ever reading a review or seeing any kind of Internet press about it and was very surprised at what I found. Writing a book about disecting code and getting the most out of it could be very useful to some, invaluable to the novice programmer. Although some techniques in the book are a bit over emphasized, I felt that the writing and the organization of the book was excellent. This book leaned on C code and Unix/Linux environments quite heavily so if you are unfamiliar with them then you may find it difficult to understand. It's a book about the process of reading code and not so much a book about teaching you how to code. Which is probably why it's called Code Reading.
Rating:
Summary: Unfocused
Review: Programmers need to be able to look at code and analyze what it does in order to change it or fix it. The concept behind this book is to use many of the open source code samples to discuss how to read code and how to spot potential trouble areas in code. Unfortunately the book doesn't stay focused on this single goal and that detracts from its overall value. The book spends too much time explaining the basics of programming instead of concentrating on reading code. It also bounces around from one language to another, from C to C++ to Perl to Java, which is very confusing. For example, if you are a Java programmer do you really care how the C compiler optimizes strcmp calls? And what does that have to do with reading code? Some of the advice is fairly basic such as try to realign indentations properly and replace complex code structures with simple placeholders when doing analysis. Although there are parts of the book that are excellent, too many of these good parts are wrapped under what should be basic concepts to anyone reading code. How can you debug a Java program, for example, if you are unfamiliar with abstract classes, libraries, or polymorphism? Do you really need a book on code reading to explain basic object oriented programming? Overall, the book seems very unfocused and I really can't recommend it.
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