Open Source Code Coverage Tools - Page 2
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Code Coverage Tools
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Catberry
Catberry is an isomorphic framework
Catberry is an isomorphic framework for building universal front-end apps using components, Flux architecture and progressive rendering. Catberry builds a bundle for running the application in a browser as a Single Page Application. Cat-Components – similar to web-components but organized as directories, can be rendered on the server and published/installed as NPM packages. The entire architecture of the framework is built using the Service Locator pattern, which helps to manage module dependencies and create plugins, and Flux, for the data layer. Search crawler receives a full page from the server. The whole state of the application is restored from URL. Server-side progressive rendering based on node.js streams and parallel rendering of components in a browser. The framework is well-tested (code coverage is about 90%) and it is already used in production. -
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A code coverage console app for wrapping MsTest executed tests for Visual Studio for Testers. The app extracts coverage data from a binary (*.coverage) file, generated by MsTest into an XML file which can be used in your build process.
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Coverlet
Cross platform code coverage for .NET
Coverlet is a cross-platform code coverage framework for .NET, with support for line, branch and method coverage. It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet documentation reflect the current repository state of the features, not the released ones. Check the changelog to understand if the documented feature you want to use has been officially released. Coverlet is integrated into the Visual Studio Test Platform as a data collector. Coverlet also integrates with the build system to run code coverage after tests. Enabling code coverage is as simple as setting the CollectCoverage property to true. The coverlet tool is invoked by specifying the path to the assembly that contains the unit tests. You also need to specify the test runner and the arguments to pass to the test runner using the --target and --targetargs options respectively. -
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An eclipse plugin for code coverage visualization of JUnit Tests. Especially useful for test-first development. Supported coverages include block coverage and all-uses coverage (Data Flow Analysis).
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Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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A GUI code coverage application for C#. Code is instrumented using a C# parser for accurate, and deep coverage instrumentation.
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Delphi Code Coverage
Code coverage tool for Delphi
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EL4Ant is a light and efficient build system based on Apache Ant. A project is described in XML as modules with transitive dependencies. Features are provided thanks to plugins: Java execution, JUnit reports, EMMA code coverage, Eclipse integration...
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Easy Coverage for Java
Dynamically generated unit tests for basic verifications.
Easy Coverage is a tool that can dynamically generate unit tests to perform basic verifications, thus leaving more time for the developers. When writing unit tests, developers often have to write the same elementary verifications over and over for most classes. This is tedious and error-prone, and keeps developers away from writing more meaningful unit tests. Easy Coverage is extensible and highly configurable. It can work as a standalone product, or be used with JUnit, which is highly recommended. Support for TestNG is planned. If you want to get started, you should go to the wiki and the quick start. -
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Essential React
A minimal skeleton for building testable React apps using Babel
A minimal skeleton for building testable React apps using Babel. The design goals are to use fewer tools (no yeoman, gulp, bower, etc...) Babel 6 with Webpack and Hot Loader. Fast testing with mocked-out DOM. Import CSS files as class names. Separate smart and dumb components. No specific implementation of Flux or data fetching patterns. A core philosophy of this skeleton app is to keep the tooling to a minimum. For this reason, you can find all the commands in the scripts section of package.json. This leverages React Hot Loader to automatically start a local dev server and refresh file changes on the fly without reloading the page. It also automatically includes source maps, allowing you to browse code and set breakpoints on the original ES6 code. Build minified app for production using the production shortcut. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Express & mongoose REST API Boilerplate
A boilerplate application for building RESTful APIs Microservice
A boilerplate application for building RESTful APIs Microservice in Node.js using express and mongoose in ES6 with code coverage and JsonWebToken Authentication. Helps you stay productive by following best practices. Follows Airbnb's Javascript style guide. JavaScript code linting is done using ESLint, a pluggable linter tool for identifying and reporting on patterns in JavaScript. Uses ESLint with eslint-config-Airbnb, which tries to follow the Airbnb JavaScript style guide. Supports code coverage of ES6 code using istanbul and mocha. Code coverage reports are saved in the coverage/directory post yarn test execution. Open coverage/lcov-report/index.html to view the coverage report. yarn test also displays code coverage summary on the console. Code coverage can also be enforced overall and per file as well, configured via .istanbul.yml. -
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gcov-eclipse is an Eclipse plug-in that will extend CDT to provide code-coverage testing to C/C++ projects by using the gcov program. It will integrate into the CDT's launch and managed build system.
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Go Recipes
Collection of handy tools for Go projects
Visualize the distribution of code coverage in your project. This helps to identify code areas with high and low coverage. Useful when you have a large project with lots of files and packages. This 2D image-hash of your project should be more representative than a single number. For each module, the node representing the greatest version (i.e., the version chosen by Go's minimal version selection algorithm) is colored green. Other nodes, which aren't in the final build list, are colored grey — by the official Go team. Use to find unexpected dependencies or visualize the project. Works best for a small number of packages, for large projects use grep to narrow down subgraph. Collect all the licenses or check if you can use the project for example in a proprietary or commercial environment. Tell Go compiler which versions of upstreams to include in your build. Tell all users of your module how to deal with versions of your module. -
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GoAWK
A POSIX-compliant AWK interpreter written in Go, with CSV support
GoAWK now uses a bytecode compiler and includes native support for CSV files. AWK is a fascinating text processing language, and The AWK Programming Language is a wonderfully concise book describing it. The A, W, and K in AWK stand for the surnames of the three original creators: Alfred Aho, Peter Weinberger, and Brian Kernighan. Kernighan is also an author of The C Programming Language (“K&R”), and the two books have that same each-page-packs-a-punch feel. AWK was released in 1977, which makes it over 40 years old! Not bad for a domain-specific language that’s still used for one-liners on Unix command lines everywhere. GoAWK is a POSIX-compatible version of AWK, and additionally has a CSV mode for reading and writing CSV and TSV files. This feature was sponsored by the library of the University of Antwerp. Read the CSV documentation. -
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A cross platform Http web server developed using C++. Agile methodology with emphasis on :- 1. Good Design 2. Object Oriented Programming 3. Refactoring 4. Static/Dynamic Analysis, Unit-testing, Code Coverage 5. Software Engineering best practices.
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An integrated testing framework, covering test case generation, execution, bug reporting, code coverage and coding conventions. Currently This is a module suite for netbeans IDE, integrating some open source PHP Testing Tools
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Intern
A next-generation code testing stack for JavaScript
Intern is a complete test system for JavaScript designed to help you write and run consistent, high-quality test cases for your JavaScript libraries and applications. It can be used to test any JavaScript code. Intern is minimally prescriptive and enforces only a basic set of best practices designed to ensure your tests stay maintainable over time. Its extensible architecture allows you to write custom test interfaces, executors, and reporters to influence how your tests run & easily integrate with your existing coding environment. Intern also comes with Grunt tasks so it can be quickly added to existing Grunt-based workflows, and is designed to work out-of-the-box with popular continuous integration services like Jenkins and Travis CI. Intern can run unit tests in most browsers that support ECMAScript 5, including mobile browsers on Android and iOS, and in Node 6+. Note that Internet Explorer 9 is not supported. -
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JUnitMetrics is a tool that enables to measure basic JUnit and Cactus tests metrics (like number of tests, assertions, number of executed assertions). It is great, complementary solution to code coverage tools and mutation testers.
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Jacoco Android Gradle Plugin
Gradle plugin that creates JaCoCo test reports for Android unit tests
A Gradle plugin that auto-creates and configures JaCoCo code coverage tasks for each Android app/module variant, saving you from manual setup across build types and flavors. -
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This profiler (JRE 1.5.0 only) uses JVMTI and native bytecode instrumentation for the analysis of the heap, reachable objects, execution time, garbage collection efficiency, code coverage and thread contention. No preparation steps required in build.
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It is a JavaDoc and comment coverage tool. It check the quality of JavaDoc and comments in Java source files. The output is like the EMMA Java code coverage.
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Javelina is an advanced code coverage tool that uses dynamic instrumentation to minimize the overhead for collecting coverage data. Additionally, Javelina allows the application of logical operations to code coverage data.
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Jest
Delightful JavaScript Testing
Jest is a delightful, comprehensive JavaScript testing framework that works right out of the box for most JavaScript projects. It works on projects that use Babel, TypeScript, Angular, React, Node and so much more! It works fast and simple, capturing snapshots either alongside your tests or embedded inline to make testing and tracking changes over time a whole lot easier. Jest is designed to ensure the correctness of any JavaScript codebase. It has a great API, is well maintained and well documented, and can be extended to meet your exact requirements. Simply put, Jest just makes testing delightful! -
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A web-based courseware system for programming courses. Provides support for on-line submission testing, static analysis, code coverage, peer and instructional code reviews and grading. Works with projects in any programming language.
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Modern C++ Template
A template for modern C++ projects using CMake, Clang-Format
A quick C++ template for modern CMake projects aimed to be an easy-to-use starting point. This is my personal take on such a type of template, thus I might not use the best practices or you might disagree with how I do things. Any and all feedback is greatly appreciated! Modern CMake configuration and project, which, to the best of my knowledge, uses the best practices. An example of a Clang-Format config, inspired from the base Google model, with minor tweaks. This is aimed only as a starting point, as coding style is a subjective matter, everyone is free to either delete it (for the LLVM default) or supply their own alternative. Static analyzers integration, with Clang-Tidy and Cppcheck, the former being the default option. Doxygen support, through the ENABLE_DOXYGEN option, which you can enable if you wish to use it. Unit testing support, through GoogleTest (with an option to enable GoogleMock) or Catch2. Code coverage, enabled by using the ENABLE_CODE_COVERAGE op.
