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Linux Kernel Programming

You're reading from  Linux Kernel Programming

Product type Book
Published in Mar 2021
Publisher Packt
ISBN-13 9781789953435
Pages 754 pages
Edition 1st Edition
Languages
Author (1):
Kaiwan N. Billimoria Kaiwan N. Billimoria
Profile icon Kaiwan N. Billimoria
Toc

Table of Contents (19) Chapters close

Preface 1. Section 1: The Basics
2. Kernel Workspace Setup 3. Building the 5.x Linux Kernel from Source - Part 1 4. Building the 5.x Linux Kernel from Source - Part 2 5. Writing Your First Kernel Module - LKMs Part 1 6. Writing Your First Kernel Module - LKMs Part 2 7. Section 2: Understanding and Working with the Kernel
8. Kernel Internals Essentials - Processes and Threads 9. Memory Management Internals - Essentials 10. Kernel Memory Allocation for Module Authors - Part 1 11. Kernel Memory Allocation for Module Authors - Part 2 12. The CPU Scheduler - Part 1 13. The CPU Scheduler - Part 2 14. Section 3: Delving Deeper
15. Kernel Synchronization - Part 1 16. Kernel Synchronization - Part 2 17. About Packt 18. Other Books You May Enjoy

Static analysis tools for the Linux kernel

Static analyzers are tools that, by examining the source code, attempt to identify potential errors within it. They can be tremendously useful to you as the developer, though you must learn how to "tame" them – in the sense that they can result in false positives.

Several useful static analysis tools exist. Among them, the ones that are more relevant for Linux kernel code analysis include the following:

  • Sparse: https://sparse.wiki.kernel.org/index.php/Main_Page
  • Coccinelle: http://coccinelle.lip6.fr/ (requires the ocaml package installed)
  • Smatch: http://smatch.sourceforge.net/http://repo.or.cz/w/smatch.git
  • Flawfinder: https://dwheeler.com/flawfinder/
  • Cppcheck: https://github.com/danmar/cppcheck

For example, to install and try Sparse, do the following:

sudo apt install sparse
cd <kernel-src-tree>
make C=1 CHECK="/usr/bin/sparse"

There are also several high-quality commercial static analysis tools available. Among them are the following:

  • SonarQube: https://www.sonarqube.org/​ (a free and open source community edition is available)
  • Coverity Scan: https://scan.coverity.com/
  • Klocwork: https://www.meteonic.com/klocwork
clang is a frontend to GCC that is becoming more popular even for kernel builds. You can install it on Ubuntu with sudo apt install clang clang-tools.

Static analysis tools can save the day. Time spent learning to use them effectively is time well spent!

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Linux Kernel Programming
Published in: Mar 2021 Publisher: Packt ISBN-13: 9781789953435
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