MUSIC

Mutation analysis tool

A mutation analysis tool for assessing code change impact

MUSIC: MUtation analySIs tool with High Configurability and Extensibility

GitHub

17 stars
6 watching
6 forks
Language: C++
last commit: about 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
kaiyuanw/mualloyA tool for generating and testing mutant models in Alloy to identify vulnerabilities in software systems.8
testingresearchillinois/srcirorA mutation tool for testing source code and intermediate representation (IR) written in C/C++13
nlohmann/mutate_cppA mutation testing tool for C++ projects to detect programming errors173
comparethemarket/fettleAn experimental tool for testing C# code by intentionally changing it to see if tests can detect the changes66
fabian-jung/tsmpTool to generate meta-programming capabilities from source code analysis97
muter-mutation-testing/muterAutomated mutation testing tool for Swift503
sixty-north/cosmic-rayA tool for testing the robustness of Python code by introducing random changes570
josuemolinamorales/mutant-krakenA mutation testing tool designed to verify the robustness and reliability of Kotlin code by introducing random changes.25
sualeh/introduction-to-mutation-testingAn introduction to using mutation testing to validate unit tests in software development23
mbj/mutantAutomated code review tool with mutation testing to simplify and improve code quality1,956
thierry-tct/martA mutation testing framework that enables the application of mutation testing on languages that can be compiled into LLVM code.26
yosyshq/mcyAn automated tool to help improve testbench coverage by generating and filtering mutations in digital design post-synthesis netlists77
hcoles/pitestAn automated testing tool designed to detect faults in software code by introducing random errors and observing the impact on test results1,707
wittelab/orchidAn annotation and machine learning framework for analyzing cancer mutations31
seer-lab/vismanA tool to help developers analyze and visualize the effectiveness of mutation testing in their codebases.4