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  • Book Overview & Buying Hands-On System Programming with Linux
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Hands-On System Programming with Linux

Hands-On System Programming with Linux

By : Kaiwan N. Billimoria, Aivazian
4 (6)
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Hands-On System Programming with Linux

Hands-On System Programming with Linux

4 (6)
By: Kaiwan N. Billimoria, Aivazian

Overview of this book

The Linux OS and its embedded and server applications are critical components of today’s software infrastructure in a decentralized, networked universe. The industry's demand for proficient Linux developers is only rising with time. Hands-On System Programming with Linux gives you a solid theoretical base and practical industry-relevant descriptions, and covers the Linux system programming domain. It delves into the art and science of Linux application programming— system architecture, process memory and management, signaling, timers, pthreads, and file IO. This book goes beyond the use API X to do Y approach; it explains the concepts and theories required to understand programming interfaces and design decisions, the tradeoffs made by experienced developers when using them, and the rationale behind them. Troubleshooting tips and techniques are included in the concluding chapter. By the end of this book, you will have gained essential conceptual design knowledge and hands-on experience working with Linux system programming interfaces.
Table of Contents (21 chapters)
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Tool types

Broadly speaking, within the scope of these areas, there are two kinds of tools:

  • Dynamic analysis tools
  • Static analysis tools

Dynamic analysis tools work essentially by instrumenting the runtime process. Thus, to gain the most out of them, a lot of attention must be devoted to ensuring that the tools actually run over all possible code paths; done by carefully and painstakingly writing test cases to ensure complete code coverage. This is a key point and will be mentioned again (Importantly, Chapter 19, Troubleshooting and Best Practices, covers such points). While very powerful, dynamic analysis tools usually result in a significant runtime performance hit and more memory usage.

Static analysis tools, on the other hand, work upon source code; in this sense, they are similar to the compiler. They often go well beyond the typical compiler, aiding the developer in uncovering...

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