Make your xccov outputs prettier ✨
https://github.com/mkchoi212/xcperfectTags | xccoverage xcode coverage command-line-tool xccov |
Implementation | Ruby |
License | MIT |
Platform | Windows Linux |
xcov is a friendly visualizer for Xcode's code coverage files. You can easily ignore the coverage for a specified set of files by adding their filenames to the ignore file specified with the --ignore_file_path parameter (this file is .xcovignore by default). You can also specify a wildcard expression for matching a group of files.
coverage-report fastlane coverage command-line-tool xcode xccoverage html-report continuous-integration cixcov is a friendly visualizer for Xcode's code coverage files. You can easily ignore the coverage for a specified set of files by adding their filenames to the ignore file specified with the --ignore_file_path parameter (this file is .xcovignore by default). You can also specify a wildcard expression for matching a group of files.
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A command-line tool that reorganizes your Xcode project folder to match your Xcode groups.
XcodeGen is a command line tool written in Swift that generates your Xcode project using your folder structure and a project spec. The project spec is a YAML or JSON file that defines your targets, configurations, schemes, custom build settings and many other options. All your source directories are automatically parsed and referenced appropriately while preserving your folder structure. Sensible defaults are used in many places, so you only need to customize what is needed. Very complex projects can also be defined using more advanced features.
xcode generator xcodeproject specification yaml xcodeproj cli ciCobertura is a Java tool that calculates the percentage of code accessed by tests. It can be used to identify which parts of your Java program are lacking test coverage. it instruments Java bytecode after it has been compiled. Reports are generated in HTML and XML. It shows cyclomatic code complexity of each class, and the average cyclomatic code complexity for each package and for the overall product.
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pbxproj json-configuration xcode toolsWARNING: This project is no longer supported. Please check out http://github.com/appcelerator/ioslib for replacement that works with the latest XCode. The ios-sim tool is a command-line utility that launches an iOS application on the iOS Simulator. This allows for niceties such as automated testing without having to open XCode.
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CaptainHook Tweak、Logos Tweak and Command-line Tool、Patch iOS Apps, Without Jailbreak.
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xcode coverageDeprecation Notice: this version of istanbul is deprecated, we will not be landing pull requests or releasing new versions. But don't worry, the Istanbul 2.0 API is now available and is being actively developed in the new istanbuljs organization. The best way to see it in action is to run node unit tests. Say you have a test script test.js that runs all tests for your node project without coverage.
coverage code-coverage js-code-coverage js-coverageTarpaulin is designed to be a code coverage reporting tool for the Cargo build system, named for a waterproof cloth used to cover cargo on a ship. Currently, tarpaulin provides working line coverage but is still in the early development stage and therefore may contain some bugs. A lot of work has been done to get it working on some example projects and smaller crates so please report anything you find that's wrong. Also, check out our roadmap for planned features. Tarpaulin only supports x86_64 processors running Linux. This is because instrumenting breakpoints into executables and tracing their execution requires processor and OS specific code. It is a goal when greater stability is reached to add wider system support, however this is sufficient to run Tarpaulin on popular CI tools like Travis.
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bash zsh shell command-line developer-toolsPICT generates test cases and test configurations. With PICT, you can generate tests that are more effective than manually generated tests and in a fraction of the time required by hands-on test case design.PICT runs as a command line tool. Prepare a model file detailing the parameters of the interface (or set of configurations, or data) you want to test. PICT generates a compact set of parameter value choices that represent the test cases you should use to get comprehensive combinatorial coverage of your parameters.
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