How to Import JaCoCo XML Coverage Reports into a Code Quality Platform

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To import JaCoCo coverage, generate a JaCoCo XML report after tests run, then give that report to the destination platform’s uploader or CI task. Do not upload JaCoCo’s binary .exec execution-data file in place of XML. Whether you can use JaCoCo XML directly depends on the destination: Codecov, Codacy, and Azure Pipelines document JaCoCo support, while GitHub Code Quality’s manual setup requires Cobertura XML.

Choose the report format and upload method first

JaCoCo XML is a report generated by analyzing execution data against compiled class files. The binary .exec file is an input to report generation, not a substitute for the XML report most dashboards consume. A platform’s ability to parse JaCoCo XML also does not guarantee that it will match your source paths or attach the result to the commit you expect.

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Use the destination’s current documentation for authentication and workflow requirements. Choose native JaCoCo ingestion when it is documented; convert formats only when the destination requires it. Conversion adds another step where the report’s source paths must still correspond to the checked-out source.

Generate JaCoCo XML

Maven

Configure the JaCoCo Maven plugin to attach its agent during tests and generate a report afterward. The report goal produces HTML, XML, and CSV output; its documented default output directory is ${project.reporting.outputDirectory}/jacoco. In a standard Maven project, XML is commonly at target/site/jacoco/jacoco.xml, but custom build settings can change the path. The goal binds by default to verify, so a typical CI invocation is:

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mvn clean verify

Check the actual report location in your build rather than assuming the default. JaCoCo’s Maven plugin documentation, prepare-agent goal documentation, and report goal documentation describe setup and output. With Maven Surefire or Failsafe, settings such as forkCount=0 or forkMode=never prevent tests from running with the configured Java agent, so execution data is not recorded.

For a multi-module Maven project whose modules contribute to one result, consider JaCoCo’s report-aggregate goal, configured in the appropriate aggregator module. An aggregate report is useful when the destination expects one project-wide report; it does not remove the need to verify that all intended modules and class files are included.

Gradle

When the Java plugin is applied, Gradle’s JaCoCo plugin adds a jacocoTestReport task. XML is not enabled by default in the documented report configuration, and the report task does not depend on test automatically. Configure both explicitly, for example in build.gradle.kts:

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tasks.jacocoTestReport {
    dependsOn(tasks.test)
    reports {
        xml.required = true
    }
}

Then run the report task in CI:

./gradlew test jacocoTestReport

The Gradle JaCoCo plugin documentation covers task behavior, report configuration, and output. For Android, Kotlin, custom source sets, or variant-based builds, task names and paths can differ from a simple Java module. Inspect the tasks and build outputs for the variant you tested, and pass the resulting XML path to the uploader.

Upload the report to your destination

Codecov

Codecov lists JaCoCo XML as a supported report format. Supply the generated report path to its CLI uploader with -f, following the authentication and CI setup for your environment. For example, the upload command’s report-file argument takes the form:

codecov -f path/to/jacoco.xml

The exact invocation can depend on the uploader version and CI environment; follow the Codecov uploader instructions and confirm the report is associated with the intended commit. Codecov’s supported report formats page lists accepted report types. An arbitrary XML file is not necessarily a coverage report.

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Codacy

Codacy’s Coverage Reporter accepts a JaCoCo report path with -r. Store the repository token in a CI secret and expose it as CODACY_PROJECT_TOKEN; do not commit the token to the repository. The documented command pattern is:

export CODACY_PROJECT_TOKEN=<repository-token>
bash <(curl -Ls https://coverage.codacy.com/get.sh) report -r path/to/jacoco.xml

Use the report generated for the commit being built, and make sure its source paths correspond to repository-relative files. Codacy can report commit-detection failures such as “Commit not found” or “Branch not enabled” when repository or branch identity is not recognized. See Codacy Coverage Reporter setup for current command and token details.

Azure Pipelines

Publish JaCoCo XML with PublishCodeCoverageResults@2. JaCoCo reports do not use absolute source paths, so Microsoft documents pathToSources to help map report entries to source files. Set it to the absolute source directory on the agent; adapt both paths to your checkout, modules, and any container mounts:

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- task: PublishCodeCoverageResults@2
  inputs:
    summaryFileLocation: '$(System.DefaultWorkingDirectory)/app/**/jacoco.xml'
    pathToSources: '$(System.DefaultWorkingDirectory)/app/src/main/java/'
    failIfCoverageEmpty: true

The example paths are illustrative, not universal. The task can merge multiple summary files and is intended for build pipelines, not release pipelines. See Microsoft’s PublishCodeCoverageResults@2 reference for supported inputs and behavior.

GitHub Code Quality

GitHub Code Quality’s current manual coverage setup calls for Cobertura XML, not raw JaCoCo XML. Convert the JaCoCo report using a documented route such as cover2cover.py or a JaCoCo-to-Cobertura Gradle or Maven plugin, then upload the converted report with actions/upload-code-coverage@v1. Follow the workflow’s documented code-quality: write permission and conditions; GitHub’s example excludes uploads for forked pull requests. Configure the workflow to run on default-branch pushes as well as pull requests so coverage can be compared with the default branch. The GitHub Code Quality coverage setup documents the conversion and workflow requirements.

Handle multi-module builds and parallel test jobs

Choose between a unified JaCoCo aggregate report and multiple report uploads based on how the project and destination represent coverage. An aggregate is appropriate when modules form one project-level result. Independent modules or parallel test jobs may instead produce separate reports; the platform must be told how to combine or associate them.

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• For Codacy, upload every tested file, including unchanged files and unchanged monorepo modules. Its advanced upload guidance supports repeated -r arguments to upload reports together, or --partial for each report followed by a final upload after all partials have arrived.
• For Azure Pipelines, summaryFileLocation can match multiple summary files, which the task can merge. Ensure the pattern includes the intended modules and not unintended duplicate reports.
• For other services, use their documented aggregation or partial-report mechanism rather than assuming that repeated uploads are merged. Avoid uploading only one module when the result is meant to cover the whole repository.

Codacy’s advanced coverage upload guidance describes its partial-report workflow.

Verify that the platform processed the right coverage

1. Check the generated file. Confirm that the XML exists at the path passed to the uploader. Inspect it for expected packages, classes, source files, and counters; the JaCoCo XML DTD describes its report structure.
2. Check upload identity. Review uploader output and the platform’s report status to confirm it detected the intended repository, branch, and commit SHA.
3. Check source matching. Open a known source file in the platform and compare its displayed coverage with the XML’s relevant entries. If paths do not match, correct the path mapping or checkout-root configuration before changing coverage data.
4. Check report scope and metric. Confirm the report includes the modules and test jobs you intended. Line, branch, instruction, method, and class coverage are distinct counters, and platforms may display or summarize them differently.

Troubleshoot missing or misleading coverage

A syntactically valid XML file is only one part of a useful import: the execution data, compiled classes, source paths, and commit must align. Coverage indicates which code was exercised under the recorded tests; it does not by itself establish test quality or correctness.

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