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5 things you didn’t know about linux kernel code metrics
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| I started with writing a small script that:
|
| 1. downloads a 2.6.0 kernel, analyzes it using SLOCCount written by David
| Wheeler
| 2. patches to one step newer kernel and analyzes it using the same tool.
| 3. goes to number 2 until patches run out at 2.6.26
|
| Just in case I also used a different tool called cloc to analyze the same
| code. Word of comment on tools used is at the end of this post.
|
| This script ate 477MB of disk space with tarballs and bzipped patches.
| 1. The kernel has just reached 6 millions lines with 2.6.26!
| Linux kernel lines of code
|
| Linux kernel lines of code
|
| Yes, indeed, with 2.6.26 we’ve reached over 6 million lines of code. You can
| see that on the chart on the right (click for a normal size version).
|
| Both SLOCCount and CLOC show similar results. What is interesting here is
| that:
|
| * there’s over a million of blank lines,
| * and a million lines of comments (which are of course important too),
| * the code shows a faster-than-linear growth characteristic,
| * if current speed is maintained I predict we might get 7 million with
| 2.6.30 and 8 million with 2.6.33, just look at the forecast.
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http://linuxator.wordpress.com/2008/07/22/5-things-you-didnt-know-about-linux-kernel-code-metrics/
http://tinyurl.com/5p5cqh
Related:
Linux contributor base broadens
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| With more companies funding Linux work, the core hackers now delegate
| 70% of the coding
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http://www.linuxworld.com/news/2007/062807-linux-contributor-base.html
Amazing 3D view of linux kernels..
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| These are 3D renderings of dependencies in the Linux kernel source code.
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http://kerneltrap.org/node/14727
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