The focus of Code Complete is software construction, i.e. the coding part of software development. As Steve McConnell notes in the preface, "construction is the only activity that is guaranteed to be done". You can skip almost any step (requirements, testing etc), but if you don't write any code there is not going to be any software.
I bought my copy of the first edition of Code Complete in 1997, and I was immediately fascinated. I had never read anything like it before - a book that concentrated on the actual writing of the code. For example, it had a whole chapter on if- and case-statements, and another chapter on the naming of variables. I had no idea there was so much to learn about these seemingly straight forward activities. It was immediately useful to me, and I started to apply as much as I could of what I learnt from it.
Although it concentrated on coding, it covered a broad spectrum of activities around coding, from requirements and design to testing, debugging and optimization. It also had a great reference section with suggestions of further reading in the area of software engineering. This became my starting point for finding lots of other good books to read, like
Peopleware: Productive Projects and Teams (Second Edition)
and
Programming Pearls (2nd Edition)
.
So this summer I decided to re-read this seminal book, partly to see what's new in the second edition, and partly to see if still think it is such a great book.
To answer my own question - yes, it is still the number one book on writing code. It is near encyclopaedic in its coverage of the nuts and bolts of programming. There are chapters on the naming of variables, on organizing straight-line code, on conditionals, on loops, on lay-out, on good commenting and on how to write good methods.
In it, there are frequent references to scientific studies that support the advice given in the book. For example, how long should variable names be? Instead of just giving us his opinion, McConnell summarized the findings of several scientific studies on the subject.
Each time there is reference to a study, there is a little "hard data" symbol in the margin. There are other symbols in the margin as well, "Coding Horror" for code examples of what not to do, and "Key Point" for, well, key points. The margin is also used for cross references to other chapters, and for quotes related to the subject discussed. For me, this works really well. It is both useful and makes the text easier to read. In general, the book is very well laid out.
Some of my favourite advice from the book (all of which I remember from reading the first edition) are:
Chapter 7.1 Valid Reasons to Create a Routine - for example: Reduce complexity, Introduce an intermediate understandable abstraction, and Avoid duplicate code (there are 6 more valid reasons in this chapter). The second part of the chapter is called Operations That Seem Too Simple to Put Into Routines and contains a great example of why it can be good to put even a one-line calculation in a routine - the code becomes more readable, and small operations tend to turn into larger operations.
Page 172 (and 264 for variables) Use opposites precisely. When naming "opposite" methods and variables, be careful to use the correct pairs, like add/remove, begin/end, create/destroy etc. This makes the relationship between them clear and obvious.
Page 433 Break complicated tests into partial tests with new boolean variables. This is such a simple thing, but it makes the code a lot more readable.
Page 754 "Make the incompleteness of a statement obvi". For example, when breaking up a logical and over two lines, end the first line with && - that way, it is clear that the statement continues on the next line.
Even though the book truly is great, there are a few things to complain about. In the first edition, the chapters on layout and comments came right after the chapters on the different control structures. But in the second edition, these two chapters have been moved further back. To me, that doesn't make sense, since they too are related to how you actually write your code. Now there are chapters on testing, debugging, optimization and refactoring in between.
And talking about refactoring: while this is an important subject, I don't feel the chapter on refactoring is particularly good. This chapter is new in the second edition. The summary of refactoring is OK, but a good part of the chapter consists of just listing different kinds of refactorings.
Overall though, the second edition is a nice face lift. The code examples are now mostly in Java, C++ or Visual Basic (in the first edition they were in Pascal, C or Ada). But since all the major themes of the book were already present in the first edition, it does not make a big difference if you happen to read the first edition instead of the second edition.
Code Complete is thick - 862 pages (not counting the bibliography and index). If that feels like a lot to read, then I suggest you start by just reading one or two chapters, for example "Using Conditionals" or "Layout and Style". They (and pretty much any chapter in the book) can easily be read without first reading the preceding chapters, and these will give you a sense of what you can expect from the other chapters. Even if these are all you read, you will still get a lot of value from the book.
However, if you are a programmer and care about how you write code, you owe it to yourself to read the whole book. It is considered by many (including me) to be the best book available on programming, and it will almost certainly make you a better programmer. Highly recommended.
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From the Publisher
From the Preface
My primary concern in writing this book has been to narrow the gap between the knowledge of industry gurus and professors on the one hand and common commercial practice on the other. Many powerful programming techniques hide in journals and academic papers for years before trickling down to the programming public.
Although leading-edge software-development practice has advanced rapidly in recent years, common practice hasn't. Many programs are still buggy, late, and over budget, and many fail to satisfy the needs of their users. Because these practices aren't often reported outside the pages of highly specialized technical journals, however, most programming organizations aren't yet using them today. This handbook shortcuts the process, making key discoveries available to the average programmer now.
- Steve McConnell
Who should read this book?
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Experienced ProgrammersThis handbook serves experienced programmers who want a comprehensive, easy-to-use guide to software development. The programming practices described here will help you keep big projects under control and help you maintain and modify software successfully as the demands of your projects change. |
Technical LeadsMany technical leads have used Code Complete to educate less-experienced programmers on their teams. You can also use it to fill your own knowledge gaps. |
Self-Taught ProgrammersSelf-taught programmers are found in the emerging group of professionals—engineers, accountants, scientists, teachers, and small business owners—who program as part of their jobs but who do not necessarily view themselves as programmers. Regardless of the extent of your programming education, this handbook can give you insight into effective programming practices. |
StudentsUse this guide to bridge theoretical knowledge with practical skills as you transition from an academic environment to a professional career. |
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Reviews with images
Self-diagram of Topic Coverage from Book
Bought it used and is in good shape!Haven't read through all of it, but off to a good start.Included a picture of a self-description of how much details it'll cover in each topic in this book.
Top reviews from other countries
José Huerta Ibarra
A este libro le llaman "La Biblia del cómputo"
Reviewed in Mexico on April 9, 2021Sébastien Wilmet
Un des livres qui m'a été le plus utile en programmation
Reviewed in France on December 27, 2018