Open Source Windows Code Coverage Tools - Page 2

JSCover is a tool that measures code coverage for JavaScript programs. It is an enhanced Java implementation of the excellent JSCoverage tool.

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.

A Unibasic Code Coverage tool. It produces formatted HTML reports on the statement coverage of selected source files. Designed for UniData but should is being ported to UniVerse (still in development, but compiles and works on demonstration programs).

High-quality, modular starter project for Angular 2 (and beyond) with statically typed build and AoT. Allows you to painlessly update the seed tasks of your already existing project. Supports multiple Angular applications with shared codebase in a single instance of the seed. Official Angular i18n support. Ready to go, statically typed build system using gulp for working with TypeScript. Production and development builds. Ahead-of-Time compilation support. Sample unit tests with Jasmine and Karma including code coverage via Istanbul. End-to-end tests with Protractor. Development server with Livereload. Following the best practices. Manager of your type definitions using @types. Has autoprefixer and css-lint support. Provides full Docker support for both development and production environment.

The Automatic JUnit Creation Tool analyzes java classes to map all possible test branches. The tool then guides users through the generation of a JUnit test.

BeCover is a Java code coverage tool based on source-code analysis. The main goal is to keep it small and fast, so using it as a plugin in the common IDE's can be achieved.

This project provides a meaningful way to increase code coverage of your jUnit and TestNG tests. Unit testing Java Beans can be a tedious task. The goal of this project is to provide an automated way to unit test the getters and setters of a class.

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.

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.

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.

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...

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.

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.

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.

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.

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.

Hansel is an extension to JUnit implementing code coverage tests.

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.

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

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.

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.

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.

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.

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.

NCoverCop is a custom NAnt task that fails your build when your code coverage drops by using NCover. It also tells you what code has become untested. This promotes TDD. See NAnt [http://nant.sourceforge.net/] and NCover [http://www.ncover.com/]