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![David Gow](/assets/img/avatar_default.png)
The kernel now has a number of testing and debugging tools, and we've seen a bit of confusion about what the differences between them are. Add a basic documentation outlining the testing tools, when to use each, and how they interact. This is a pretty quick overview rather than the idealised "kernel testing guide" that'd probably be optimal, but given the number of times questions like "When do you use KUnit and when do you use Kselftest?" are being asked, it seemed worth at least having something. Hopefully this can form the basis for more detailed documentation later. Signed-off-by: David Gow <davidgow@google.com> Reviewed-by: Marco Elver <elver@google.com> Reviewed-by: Daniel Latypov <dlatypov@google.com> Link: https://lore.kernel.org/r/20210415054036.581117-1-davidgow@google.com Signed-off-by: Jonathan Corbet <corbet@lwn.net>
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117 lines
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.. SPDX-License-Identifier: GPL-2.0
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====================
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Kernel Testing Guide
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====================
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There are a number of different tools for testing the Linux kernel, so knowing
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when to use each of them can be a challenge. This document provides a rough
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overview of their differences, and how they fit together.
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Writing and Running Tests
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=========================
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The bulk of kernel tests are written using either the kselftest or KUnit
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frameworks. These both provide infrastructure to help make running tests and
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groups of tests easier, as well as providing helpers to aid in writing new
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tests.
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If you're looking to verify the behaviour of the Kernel — particularly specific
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parts of the kernel — then you'll want to use KUnit or kselftest.
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The Difference Between KUnit and kselftest
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------------------------------------------
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KUnit (Documentation/dev-tools/kunit/index.rst) is an entirely in-kernel system
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for "white box" testing: because test code is part of the kernel, it can access
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internal structures and functions which aren't exposed to userspace.
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KUnit tests therefore are best written against small, self-contained parts
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of the kernel, which can be tested in isolation. This aligns well with the
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concept of 'unit' testing.
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For example, a KUnit test might test an individual kernel function (or even a
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single codepath through a function, such as an error handling case), rather
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than a feature as a whole.
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This also makes KUnit tests very fast to build and run, allowing them to be
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run frequently as part of the development process.
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There is a KUnit test style guide which may give further pointers in
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Documentation/dev-tools/kunit/style.rst
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kselftest (Documentation/dev-tools/kselftest.rst), on the other hand, is
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largely implemented in userspace, and tests are normal userspace scripts or
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programs.
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This makes it easier to write more complicated tests, or tests which need to
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manipulate the overall system state more (e.g., spawning processes, etc.).
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However, it's not possible to call kernel functions directly from kselftest.
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This means that only kernel functionality which is exposed to userspace somehow
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(e.g. by a syscall, device, filesystem, etc.) can be tested with kselftest. To
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work around this, some tests include a companion kernel module which exposes
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more information or functionality. If a test runs mostly or entirely within the
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kernel, however, KUnit may be the more appropriate tool.
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kselftest is therefore suited well to tests of whole features, as these will
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expose an interface to userspace, which can be tested, but not implementation
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details. This aligns well with 'system' or 'end-to-end' testing.
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For example, all new system calls should be accompanied by kselftest tests.
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Code Coverage Tools
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===================
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The Linux Kernel supports two different code coverage measurement tools. These
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can be used to verify that a test is executing particular functions or lines
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of code. This is useful for determining how much of the kernel is being tested,
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and for finding corner-cases which are not covered by the appropriate test.
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:doc:`gcov` is GCC's coverage testing tool, which can be used with the kernel
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to get global or per-module coverage. Unlike KCOV, it does not record per-task
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coverage. Coverage data can be read from debugfs, and interpreted using the
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usual gcov tooling.
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:doc:`kcov` is a feature which can be built in to the kernel to allow
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capturing coverage on a per-task level. It's therefore useful for fuzzing and
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other situations where information about code executed during, for example, a
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single syscall is useful.
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Dynamic Analysis Tools
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======================
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The kernel also supports a number of dynamic analysis tools, which attempt to
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detect classes of issues when they occur in a running kernel. These typically
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each look for a different class of bugs, such as invalid memory accesses,
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concurrency issues such as data races, or other undefined behaviour like
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integer overflows.
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Some of these tools are listed below:
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* kmemleak detects possible memory leaks. See
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Documentation/dev-tools/kmemleak.rst
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* KASAN detects invalid memory accesses such as out-of-bounds and
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use-after-free errors. See Documentation/dev-tools/kasan.rst
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* UBSAN detects behaviour that is undefined by the C standard, like integer
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overflows. See Documentation/dev-tools/ubsan.rst
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* KCSAN detects data races. See Documentation/dev-tools/kcsan.rst
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* KFENCE is a low-overhead detector of memory issues, which is much faster than
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KASAN and can be used in production. See Documentation/dev-tools/kfence.rst
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* lockdep is a locking correctness validator. See
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Documentation/locking/lockdep-design.rst
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* There are several other pieces of debug instrumentation in the kernel, many
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of which can be found in lib/Kconfig.debug
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These tools tend to test the kernel as a whole, and do not "pass" like
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kselftest or KUnit tests. They can be combined with KUnit or kselftest by
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running tests on a kernel with these tools enabled: you can then be sure
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that none of these errors are occurring during the test.
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Some of these tools integrate with KUnit or kselftest and will
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automatically fail tests if an issue is detected.
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