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mutation-testing-metrics-scala
Advanced tools
Zero-dependency library to calculate mutation testing metrics in Scala.
Zero-dependency library to calculate mutation testing metrics in Scala.
See mutant states and metrics in the Stryker handbook for more details about mutation testing metrics.
Cross-compiled for Scala 2.12, 2.13, Dotty, Scala.js 0.6.x and Scala Native 0.3.x.
Add the dependency to your project :
libraryDependencies += "io.stryker-mutator" %% "mutation-testing-metrics" % version
If you use Scala.js or Scala Native, use %%%
instead after the groupId.
First create the mutation test report:
import mutationtesting._
val report = MutationTestReport(thresholds = Thresholds(high = 80, low = 10),
files = Map(
"src/stryker4s/Stryker4s.scala" -> MutationTestResult(
source = "case class Stryker4s(foo: String)",
mutants = Seq(
MutantResult("1", "BinaryOperator", "-", Location(Position(1, 2), Position(2, 3)), status = MutantStatus.Killed)
)
)
)
)
The MutationTestReport
case classes generate a JSON compliant with the mutation-testing JSON schema.
Then calculate and use metrics from that report:
val metrics: MetricsResult = Metrics.calculateMetrics(report)
That report will have all the metrics you need:
val mutationScore = metrics.mutationScore
// mutationScore: Double = 70.12987012987013
val killed = metrics.killed
// killed: Int = 162
val survived = metrics.survived
// survived: Int = 69
Circe transcodings are provided by the mutation-testing-metrics-circe
library to work with JSON if you don't want the extra dependency on circe-generic
. It has two dependencies: circe-core
and circe-parser
.
libraryDependencies += "io.stryker-mutator" %% "mutation-testing-metrics-circe" % version
Import the encoder:
import io.circe.syntax._
import mutationtesting.MutationReportEncoder._
val encoded = report.asJson
Import the decoder:
import io.circe.parser.decode
import mutationtesting.MutationReportDecoder._
val decoded = decode[MutationTestReport](json)
MetricsResult
A MetricsResult
has the following properties, as described in the handbook:
metrics.killed
// res1: Int = 162
metrics.survived
// res2: Int = 69
metrics.timeout
// res3: Int = 0
metrics.noCoverage
// res4: Int = 0
metrics.compileErrors
// res5: Int = 0
metrics.totalDetected
// res6: Int = 162
metrics.totalUndetected
// res7: Int = 69
metrics.totalCovered
// res8: Int = 231
metrics.totalValid
// res9: Int = 231
metrics.totalInvalid
// res10: Int = 0
metrics.totalMutants
// res11: Int = 231
metrics.mutationScore
// res12: Double = 70.12987012987013
metrics.mutationScoreBasedOnCoveredCode
// res13: Double = 70.12987012987013
MetricsResult
is a trait with three implementations:
MetricsResultRoot
: The root of a MetricsResult
, contains zero or more MetricsResult
'sMetricsDirectory
: Representation of a directory. Has a directory name and zero or more MetricsResult
'sMetricsFile
: Representation of a file with mutated code. Has a filename and zero or more MetricMutant
'sMetricMutant
: Contains a MutantStatus
To use this project, you will need sbt. The recommended way on macOS/Linux is with sbt-extras. On Windows, you can install sbt using the official .msi.
This project uses the sbt-crossproject plugin for multiple build targets. You can compile code with sbt compile
and run tests
with sbt test
. Running sbt +test
will compile and test all targets.
In CI, JS and Native will only be compiled, while tests are run on the JVM project to provide faster CI builds. Publishing is done on all targets. For more information on cross-compilation in sbt, see https://www.scala-sbt.org/1.x/docs/Cross-Build.html.
This readme uses mdoc. To edit it, please edit the readme in docs and call sbt docs/mdoc
to compile the readme in the root of the project.
1.2.3 (2019-12-11)
Note: Version bump only for package root
FAQs
Zero-dependency library to calculate mutation testing metrics in Scala.
The npm package mutation-testing-metrics-scala receives a total of 42 weekly downloads. As such, mutation-testing-metrics-scala popularity was classified as not popular.
We found that mutation-testing-metrics-scala demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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