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C++ Language



Book Title : Applied C++: Techniques for Building Better Software
eBook download format(s) : HTM
ISBN-10 : 0321108949 
ISBN-13 : 978-0-321108-94-4 
Author(s) : Philip Romanik Amy Muntz 
Publisher : Addison-Wesley Professional (02 May 2003)
Section : C++ Language
Book Review:

Book Description
This book is about applying C++ to solve the problems inherent in building commercial software. Those of you who have worked on engineering teams building complex software will know exactly what we mean by calling it commercial software. Commercial software is delivered to customers (internal or external) who will rely on the interface you provide. It may be in an embedded system, or it may be a software library or application for standard platforms. No matter where it ultimately runs, the software must be released at a particular time with all of the features it needs to be successful in the market. It is software that is built by one group of engineers and potentially extended and maintained by other engineers. The engineers who take over maintaining the software may not have been part of the original team, and they might have to add features or try to fix problems while visiting customer sites. Getting a group of engineers to build a complex piece of software and deliver it on time with full functionality is one of software engineering's biggest challenges. An even bigger challenge is building that same software in such a way that it can be handed off to others to extend and maintain. The C++ techniques and practical tips we have compiled into this book have been used repeatedly to accomplish just this. In many cases, we draw a distinction between the ideal solution and the practical one. We try to provide discussions of the trade-offs so that you can make informed decisions, and we tell you what our criteria are when selecting one method over another. We leave it to you to determine what works best in your application. Our goal is to share practical techniques that we have found made our commercial software efforts much more successful than they otherwise would have been. We hope you will find them useful. For those of you who prefer to learn by looking at the code, you will find plenty of examples. We illustrate all of the techniques by using a concrete example that runs throughout the book. Because it was our experiences with imaging software that prompted us to write this book, our example comes from the image processing domain, but the C++ techniques are applicable to any domain. We start with a simple, although inadequate, application that generates thumbnail images. We use this application in our prototyping phases to experiment with different C++ design and implementation techniques. The application is simple to understand and the results of applying various C++ techniques are immediately obvious, making it a nice candidate for prototyping. This simple thumbnail image generator has many of the same inherent problems that our final image framework will have to address. The application is: Memory intensive. Working with images requires efficient use of memory, because images can get quite large and unwieldy. Managing memory becomes critical to the overall performance of the application. Performance intensive. While generating thumbnails is a straightforward image processing technique, others that we introduce later in the book (such as edge sharpening and noise reduction) require thoughtful designs to make them usable. It's great to have cool image functions to manipulate your digital images, but they are useless if they take a really long time to run. Upon completion, you will have an image processing framework for manipulating your digital images and a practical toolkit of C++ utilities. The framework will provide efficient image storage and memory usage, routines for manipulating your digital images (like edge sharpening, image resizing, noise reduction, edge detection, image subtraction, and more), interfaces to third-party software, and many performance optimizations. It will be a useful piece of software that has practical design and implementation features, so that you could even use it as the basis of a commercial software product. The complete source code for the thumbnail generator application, the prototypes, and the final image framework can be found on the included CD-ROM. Any updates to the software can be found at the web site: [a href="http://www.appliedcpp.com" target="new">http://www.appliedcpp.com . Intended Audience We expect you to be familiar with C++ so that when we apply various constructs from the language, you have seen or used them before. We also assume that you have built applications either for personal or commercial use and are familiar with what the Standard Template Library (STL) can provide. We hope to engage you in detailed discussions of the advantages and disadvantages of certain C++ constructs. Finally, we hope you really like to look at actual code examples, because the book is filled with them. We do not attempt to provide a reference for the C++ language, but we do provide primers and reviews of those topics that have exacting syntax or are not used as frequently. For the basics of the C++ language, we refer you to The C++ Programming Language, Special Edition Stroustrup00. For in-depth discussions on certain C++ constructs, such as reference counting, we refer you to Effective C++, Second Edition Meyers98. For information on the Standard Template Library, we refer you to Effective STL Meyers01. For information on using C++ templates, we refer you to C++ Templates Vandevoorde03. As for our chosen domain of digital imaging, we don't expect you to have any experience with writing software that manipulates images. We provide some basic information about imaging that you can review; if you are familiar with imaging, you can skip that section. Whenever we talk about a particular operation that we apply to an image, we take the time to give a simple explanation, as well as some before and after pictures, before proceeding to the code example. If you want an in-depth, mathematical discussion of image processing operations, we refer you to Digital Image Processing Pratt01. How to Use This Book The book is intended to be read sequentially, since there is a concrete example introduced in Chapter 2 and used to evolve the final design of the image framework that is presented in Chapter 5. Throughout the book, we highlight the C++ techniques we are exploring in heading titles and in summary boxes that appear on the first page of each chapter. The book is organized as follows: Chapter 1, Introduction, provides an overview of what we set out to accomplish by writing this book, and reveals our background and biases as they apply to the C++ techniques we recommend. We also provide an optional background section on digital imaging. If you have experience working with imaging applications, you may want to skip the final section of this chapter. Chapter 2, A Test Application, introduces our simple, inadequate application, used as a test bed for prototyping C++ techniques. We deliberately create this strikingly simple application because it effectively demonstrates the trade-offs of various design and implementation decisions. Chapter 3, Design Techniques, begins our discussion of C++ design. We use lots of code examples to demonstrate design strategies, and we provide a primer on templates since they are used so heavily within the book. Finally, we prototype various aspects of the design and build general utilities needed to support the design. Chapter 4, Design Considerations, explores guidelines and additional strategies you may want to use in your designs. We offer a practical set of coding guidelines, reusability strategies, and a simple but effective debugging strategy. Chapter 5, System Considerations, explores system-level design issues, like multi-threaded and multi-process designs, exception handling (including a framework we provide for handling exceptions), compile time and run-time issues, template specialization, and internationalization concerns. Chapter 6, Implementation Considerations, applies the C++ techniques we have explored to the final design and implementation of all pieces in the image framework. In addition, this chapter introduces global image processing functions, like edge sharpening and noise reduction, and provides both a visual overview of these techniques and the C++ implementations. We also provide a high-level interface to libraries and other third-party software. Specifically, we introduce you to the Intel Integrated Performance Primitives (IPP) library and show you how to use IPP for high-speed imaging applications. Chapter 7, Testing and Performance, provides a reasonable strategy for integrating unit tests into your software development cycle, including a full unit test framework and a discussion of how you can extend it to meet your particular needs. We also focus on performance, giving specific techniques that you can use to immediately improve the run-time performance of your application. Chapter 8, Advanced Topics, explores those issues that we felt warranted more detailed discussion, such as copy on write, caching, explicit keyword usage, const, and pass by reference. We also include a section on extending the image framework, to serve as a guide for taking the existing framework and adding your own processing functions. We've highlighted some routines that work particularly well for enhancing your digital photographs. Appendix A, Useful Online Resources, provides links to those software tools and resources that we thought might be helpful. Appendix B, CD-ROM Information, outlines the contents of the CD-ROM included with this book. There is a great deal of code presented in this book. All of the source code for our test application, prototypes, and image framework is included on the disc. In addition, we provide all of the unit tests, unit test framework, and makefiles necessary to run the software on a variety of platforms. We also include some useful third-party software: the freeware DebugView utility by SysInternals for Microsoft Windows, the evaluation version of the Intel Integrated Performance Primitives (IPP) library for Microsoft Windows and Linux, the evaluation version of the Intel C++ Compiler for Microsoft Windows, the source code to build ...




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