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Cosmic Ray vs LittleDarwin

Cosmic Ray

cosmic-ray.readthedocs.io

LittleDarwin

aliparsai.github.io

Side by side

FigureCosmic RayLittleDarwin
Price from—Free
Free plan—Yes
Free trial——
Open source——
LinuxYesYes
Self-hostedYes—
Plans published01
Spec score · Mutation Testing Tools7.5 (#13)8.3 (#4)
InstallThe tutorial says to install Cosmic Ray with `pip install cosmic-ray`.The usage guide says to install LittleDarwin with `pip install littledarwin` and run it as a Python module.
LicenseThe project repository identifies the software as MIT licensed.The project is free software under the GNU General Public License, version 3 or later.
PurposeCosmic Ray is a mutation testing tool for Python 3 that makes small changes to production code and runs the test suite against each change.LittleDarwin generates mutants of Java source code and runs a build command to check whether the test suite detects them.
ReportsCosmic Ray provides `cr-report` for session summaries and `cr-html` for generating an HTML report that shows the mutation used.A full analysis generates a report in the `LittleDarwinResults` directory.

Plans

Cosmic Ray

No plans published.

Cosmic Ray pricing →

LittleDarwin

  • Free and open-sourceFree

LittleDarwin pricing →

In their own words

Cosmic Ray

Cosmic Ray has no write-up on Specifiction yet; its figures are above.

Visit cosmic-ray.readthedocs.io

LittleDarwin

LittleDarwin is a Java mutation testing framework written in Python, available for Linux. It generates altered versions, or mutants, of Java source code, then runs a configured build command for each mutant to check whether the test suite detects the change. Its analysis has a mutation phase and a build phase, where each build is checked for success or failure. Users can select null-check or method-level mutation operators, or use all operators. The --higher-order option sets the mutation order, and the guide demonstrates second-order mutants. Project settings include a test project path and test command, build command, working directory, initial build command, cleanup commands, and build timeout. A Maven example runs `mvn clean test` for each mutant. Whitelist filters restrict analysis to selected packages or files, while blacklist filters exclude them. Generated mutants and full-analysis reports go into a LittleDarwinResults directory, and surviving mutants are reported. Installation uses pip, followed by running LittleDarwin as a Python module. The project is free under the GNU General Public License version 3 or later and is supported through donations.

Visit aliparsai.github.io