Update the code coverage documentation to also specify the
source base directory for the code coverage generation.
Signed-off-by: Ilan Peer <ilan.peer@intel.com>
"parallel-vm.sh <number of VMs> [arguments..]" can now be used to run
multiple VMs in parallel to speed up full test cycle significantly. In
addition, the "--split srv/total" argument used in this design would
also make it possible to split this to multiple servers to speed up
testing.
Signed-off-by: Jouni Malinen <j@w1.fi>
Use a more robust design for collecting the gcov logs from the case
where test cases are run within a virtual machine. This generates a
writable-from-vm build tree for each component separately so that the
lcov and gcov can easily find the matching source code and data files.
In addition, prepare the reports automatically at the end of the
vm-run.sh --codecov execution.
Signed-hostap: Jouni Malinen <j@w1.fi>
If there's code coverage analysis data, copy it out of the VM
to be able to analyse it later. Also add a description to the
README file about how to use it.
Signed-hostap: Johannes Berg <johannes.berg@intel.com>
Instead of running on the host, it can be useful to run in a
VM, particularly to test kernel rather than userspace changes,
so add a few scripts that allow doing so easily.
The basic idea is that the VM kernel is the same architecture
as the host kernel, so the host's root filesystem can be used
(in read-only mode) to run everything. Only a log filesystem
is mounted read-write and will get all the test output.
The kernel console output is collected to a special 'console'
file in the logs directory and kernel crashes are detected.
Signed-hostap: Johannes Berg <johannes.berg@intel.com>
