sbt-scoverage is a plugin for sbt that integrates the scoverage code coverage library. Find out more about scoverage here.
Requirements: Requires sbt 1.2.8 or above
In project/plugins.sbt
:
addSbtPlugin("org.scoverage" % "sbt-scoverage" % "x.x.x")
Run the tests with enabled coverage:
$ sbt clean coverage test
or if you have integration tests as well
$ sbt clean coverage it:test
To enable coverage directly in your build, use:
coverageEnabled := true
To generate the coverage reports run
$ sbt coverageReport
Coverage reports will be in your target/scala-<scala-version>/scoverage-report
directory. There are HTML and XML reports. The XML is useful if you need to
programatically use the results, or if you're writing a tool.
NOTE: If you're running the coverage reports from within an sbt console
session (as opposed to one command per sbt launch), then the coverage
command
is sticky. To turn it back off when you're done running reports, use the
coverageOff
command or reset coverageEnabled
with set coverageEnabled := false
.
By default, scoverage will generate reports for each project separately. You can merge them into an aggregated report by using the following:
$ sbt coverageAggregate
NOTE: You do not need to run coverageReport
before coverageAggregate
; it
aggregates over the sub-projects' coverage data directly, not the report xml.
You can exclude classes from being considered for coverage measurement by providing semicolon-separated list of regular expressions.
coverageExcludedPackages := "<empty>;Reverse.*;.*AuthService.*;models\\.data\\..*"
The regular expressions are matched against the fully qualified class name, and must match the entire string to take effect. Any matched classes will not be instrumented or included in the coverage report.
You can also mark sections of code with comments like:
// $COVERAGE-OFF$Disabling highlighting by default until a workaround for https://issues.scala-lang.org/browse/SI-8596 is found
...
// $COVERAGE-ON$
Any code between two such comments will not be instrumented or included in the coverage report.
Based on minimum coverage, you can fail the build with the following keys:
coverageFailOnMinimum := true
coverageMinimumStmtTotal := 90
coverageMinimumBranchTotal := 90
coverageMinimumStmtPerPackage := 90
coverageMinimumBranchPerPackage := 85
coverageMinimumStmtPerFile := 85
coverageMinimumBranchPerFile := 80
These settings will be enforced when the reports are generated. If you generate
an aggregate report using coverageAggregate
then these settings will apply to
that report.
If desired, one could override the default location for generating the sbt report and data through setting coverageDataDir
:
Example in data-dir test:
coverageDataDir := target.value / "custom-test"
Can also be set through the sbt set directive
set coverageDataDir := file("/tmp")
scoverage does a lot of file writing behind the scenes in order to track which statements have been executed. If you are running into a scenario where your tests normally pass, but fail when scoverage is enabled, then the culprit can be one of the following:
- timing issues on futures and other async operations, try upping the timeouts by an order of magnitude.
- tests are run in a sandbox mode (such as with
java.security.PrivilegedAction<T>
), try running the tests outside of the sandbox.
the scoverage samples project.
Codacy integrates with your favorite coverage tool to provide an in-depth overlook of your project status. scoverage information can be integrated into Codacy through the codacy-coverage-reporter.
If you have an open source project then you can add code coverage metrics with the Coveralls. scoverage will integrate with coveralls using the sbt-coveralls plugin.
You can integrate with Codecov easily sending your reports there via your CI. You can see an example of this here in codecov/example-scala.
If you want to visually browse statement coverage reports then use this plugin for SonarQube. It allows you to review overall project statement coverage as well as dig deeper into sub-modules, directories and source code files to see uncovered statements. Statement coverage measurement can become an integral part of your team's continuous integration process and a required quality standard.
For any information on releases and upgrading, please refer to the release page.