Open Source Linux Code Coverage Tools - Page 2

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.

Setting up a new C++ project usually requires a significant amount of preparation and boilerplate code, even more so for modern C++ projects with tests, executables and continuous integration. This template is the result of learnings from many previous projects and should help reduce the work required to setup up a modern C++ project. Installable target with automatic versioning information and header generation via PackageProject.cmake. Automatic documentation and deployment with Doxygen and GitHub Pages. Eventually, you can remove any unused files, such as the standalone directory or irrelevant github workflows for your project. Feel free to replace the License with one suited for your project. To keep the template modular, all subprojects derived from the library have been separated into their own CMake modules. This approach makes it trivial for third-party projects to re-use the projects library code.

A python SDK for managing Nebula container orchestrator. First, get NebulaPythonSDK onto your machine, now use it in your code. Nebula container orchestrator aims to help devs and ops treat IoT devices just like distributed Dockerized apps. It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free. Nebula imposes no limits on the scale of the cluster, each component in it is designed to scale out to allow millions of workers to be managed by it. Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. With a single API call you can deploy a new container version to managed devices around the globe in minutes.

A simple but feature-rich starter boilerplate for creating your own universal app. It built on the top of React, Redux, React Router and Express. Includes all the hot stuff and modern web development tools such as Redux Toolkit, TypeScript, Webpack, Babel, PostCSS, React Refresh, Jest and React Testing Library. See the “Features” section for other awesome features you can expect. They're several React frameworks today, however this is a DIY-oriented start-kit. It shows you how to build a universal web app from scratch and how to test it. Redux Toolkit is the official, opinionated, batteries-included toolset for efficient Redux development. It includes several utility functions that simplify the most common Redux use cases. In a word, we can do more work with less code, start from the tutorial to learn more about it.

Code coverage for Ruby with a powerful configuration library and automatic merging of coverage across test suites. SimpleCov is a code coverage analysis tool for Ruby. It uses Ruby's built-in Coverage library to gather code coverage data, but makes processing its results much easier by providing a clean API to filter, group, merge, format, and display those results, giving you a complete code coverage suite that can be set up with just a couple lines of code. SimpleCov/Coverage track covered ruby code, gathering coverage for common templating solutions like erb, slim and haml is not supported. In most cases, you'll want overall coverage results for your projects, including all types of tests, Cucumber features, etc. SimpleCov automatically takes care of this by caching and merging results when generating reports, so your report actually includes coverage across your test suites and thereby gives you a better picture of blank spots.

Use webpack to generate your static bundles without django's static files or opaque wrappers. Django webpack loader consumes the output generated by webpack-bundle-tracker and lets you use the generated bundles in Django. Test cases cover Django>=2.0 on Python>=3.5. 100% code coverage is the target so we can be sure everything works anytime. It should probably work on older versions of Django as well but the package does not ship any test cases for them. Before configuring django-webpack-loader, let's first configure what's necessary on the webpack-bundle-tracker side. Update your Webpack configuration file (it's usually on webpack.config.js in the project root). Make sure your file looks like this (adapt to your needs). The generated compiled files will be placed inside the /assets/webpack_bundles/ directory and the file with the information regarding the bundles and assets (webpack-stats.json) will be stored in the project root.

This starter pack is designed to allow you to use a full set of the latest and coolest front-end technologies, all of which are configurable, feature-rich, code hot-loading based on webpack, css preprocessing using sass, unit testing, code coverage reporting, Code splitting and more. The main purpose of this project is to preserve as decisively as possible. The goal is not to follow this structure to complete your project, but to make front-end development more robust, simpler, and most importantly, happier. You can get all the features below! In the end, this project wouldn't be so robust without everyone's contributions. All relevant libraries are ready and waiting to be called at any time. The structure of this project uses fractal (irregular fractal: suitable for large projects), the grouping of methods is mainly by characteristics rather than file types. Note that this directory structure is only a guideline and does not have to be followed.

A group of Java-based testing tools and JUnit extensions aimed at increasing quality awareness and ease of introduction of testing tools into the development cycle. Examples are Automated documentation, class hierarchy unit testing, and code coverage.

p5c is a fast portable iso standard pascal compiler. It is derived from the pascal p5 compiler and creates gnu c code instead of p-code. This makes it very fast since it uses gcc to generate native code. p5c is multi platform - it is easy to get up and running since you only need gcc to start. Using gcc enables extra tools like a static analyser and code coverage analyser. Execution profiling described in the blog here -> https://sourceforge.net/p/pascal-p5c/blog/2017/07/how-to-use-profiling-to-speed-up-p5c-pascal-programs It extends p5 by adding arbitrary set limits and conformant arrays. The project also contains p5x - pascal with extensions to the standard pascal language (underscores allowed in identifiers, otherwise in case statement, constant expressions, etc)

Covered is a Verilog code coverage utility using VCD/LXT/FST dumpfiles (or VPI interface) and the design to generate line, toggle, memory, combinational logic, FSM state/arc and assertion coverage report metrics viewable via GUI or ASCII format. This project is ported to github and can be found at: https://github.com/chiphackers/covered

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.

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.

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

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).

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.

Coberclipse is a eclipse plugin for Corbertura. It will instrument the classes during the build and show the code coverage after executing unit test cases.

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.

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.

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.

Hansel is an extension to JUnit implementing code coverage tests.

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

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.

PHPCoverage is an open-source tool for measuring and reporting code coverage provided by the test suite of a PHP application. PHPCoverage can instrument and record the line coverage information for any PHP script at runtime.

Extends Cobertura to measure and report on code covered by unit tests in same package. Also adds improved reporting features, including measuring code coverage against a coverage policy.