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This document describes the workflow we use within GSA to do coverage analysis of the GATK codebase. It is primarily meant as an internal reference for team members, but are making it public to provide an example of how we work. There are a few mentions of internal server names etc.; please just disregard those as they will not be applicable to you.
ant clean with.clover unittest
Note that you have to explicitly disable scala (due to a limitation in how it's currently integrated in build.xml). Note you can use things like -Dsingle="ReducerUnitTest" as well.
It seems that clover requires a lot of memory, so a few things are necessary:
setenv ANT_OPTS "-Xmx8g"
There's plenty of memory on gsa4, so it's not a problem to require so much memory
You can add the argument -Dclover.instrument.level=statement if you want line-level resolution on the report, but note this is astronomically expensive for the entire unit test suite. It's fine though if you want to run specific run tests.
> ant clover.report Buildfile: /Users/depristo/Desktop/broadLocal/GATK/unstable/build.xml clover.report: [clover-html-report] Clover Version 3.1.8, built on November 13 2012 (build-876) [clover-html-report] Loaded from: /Users/depristo/Desktop/broadLocal/GATK/unstable/private/resources/clover/lib/clover.jar [clover-html-report] Clover: Community License registered to Broad Institute. [clover-html-report] Loading coverage database from: '/Users/depristo/Desktop/broadLocal/GATK/unstable/.clover/clover3_1_8.db' [clover-html-report] Writing HTML report to '/Users/depristo/Desktop/broadLocal/GATK/unstable/clover_html' [clover-html-report] Done. Processed 132 packages in 20943ms (158ms per package). [mkdir] Created dir: /Users/depristo/private_html/report/clover [copy] Copying 4545 files to /Users/depristo/private_html/report/clover BUILD SUCCESSFUL
The clover files are present in a subdirectory clover_html as well as copied to your private_html/report directory. Note this can be very expensive given our large number of tests. For example, I've been waiting for the report to generate for nearly an hour on gsa4.
ant clean with.clover unittest clover.report
will clean the source, rebuild with clover engaged, run the unit tests, and generate the clover report. Note that currently unittests may be failing due to classcast and other exceptions in the clover run. We're looking into it. But you can still run clover.report after the failed run, as the db contains all of the run information, even through it failed (though failed methods won't be counted).
Here's a real-life example of assessing coverage in all BQSR utilities at once:
ant clean with.clover unittest -Dclover.instrument.level=statement -Dsingle="recalibration/*UnitTest" clover.report
Clover can make the tests very slow. Currently we are run in method count only mode (we don't have line number resolution (looking into fixing this). Also note that running with clover over the entire unittest set requires 32G of RAM (set automatically by ant).
This workflow is appropriate for developing unit tests for a single package or class. The turn-around time for clover on a single package is very fast, even with statement-level coverage. The overall workflow looks like:
Here's a concrete example. Right now I'm looking at the unit test coverage for GenomeLoc, one of the earliest and most important classes in the GATK. I really want good unit test coverage here. So I start by running GenomeLoc unit tests specifically:
ant clean with.clover unittest -Dsingle="GenomeLocUnitTest" -Dclover.instrument.level=statement clover.report
Next, I open up the clover coverage report in clover_html/index.html in my GATK directory, and landing on the Dashboard. Everything looks pretty bad, but that's because I only ran the GenomeLoc tests, and it displays the entire project coverage. I click on the "Coverage" link in the upper-left frame, and scroll down to the package where GenomeLoc lives (org.broadinstitute.sting.utils). At the bottom of this page I find my two classes, GenomeLoc and GenomeLocParser.CachingSequenceDictionary:
These have ~50% statement-level coverage each. Not ideal, really.
Let's dive into GenomeLoc itself a bit more. Clicking on the GenomeLoc link brings up to the code coverage page. Here you can see a few things very quickly.
For methods with poor test coverage (branches or overall) I'd look into their uses, and try to answer a few questions:
If the code needs tests, I would design specific unit tests (or data providers that cover all possible cases) for these function. Once that newly-written code is in place, I would rerun the ant tasks above to get updated coverage information, and continue until I'm satisfied.
Mark A. DePristo, Ph.D.
Co-Director, Medical and Population Genetics
Broad Institute of MIT and Harvard