Testing software is important, but knowing the effectiveness of the tests, like which parts are being exercised by the tests, may help develop new tests.
Coverage.py is a tool designed for measuring code coverage of Python programs. It runs monitoring the program’s source, taking notes of which parts of the code have been executed.
It is possible to use Coverage.py while running Avocado Instrumented tests. As Avocado spawn sub-processes to run the tests, the concurrency parameter should be set to multiprocessing.
To make the Coverage.py parameters visible to other processes spawned by
Avocado, create the
.coveragerc file in the project’s root folder.
Following is an example:
[run] concurrency = multiprocessing source = foo/bar parallel = true
According to the documentation of Coverage.py, when measuring coverage in a multi-process program, setting the parallel parameter will keep the data separate during the measurement.
.coveragerc file set, one possible workflow to use Coverage.py to
measure Avocado tests is:
coverage run -m avocado run tests/foo coverage combine coverage report
The first command uses Coverage.py to measure the code coverage of the
Avocado tests. Then, coverage combine combines all measurement files to a
.coverage data file. The coverage report shows the report of the
For other options related to Coverage.py, visit the software documentation.