Open Source Linux Code Coverage Tools - Page 2

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

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).

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

Hansel is an extension to JUnit implementing code coverage tests.

xCover is a C/C++ library that uses low-impact syntactic signalling to detect code coverage in a code base at runtime

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.

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...

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.

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.

bcov is a code coverage tool similar to gcov. Unlike gcov, it does not require recompiling the project for coverage. Coverage is determined by using temporary breakpoints, which causes minimal overhead. gcov produces a lcov style coverge report.

Unzip buildtemplate and you will have a project set up with ant/junit/verifydesign/code coverage all out of the box. It is a great way to get started and then add to the build.xml as you go. netbuildtemplate is for .net and has nant/nunit/NCover, etc.

Codemon is a testing tool that enables code coverage of C codes. It supports the level of Decision Coverage and Condition Coverage.

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.

Cov is a code coverage tool to get your code coverage after your runuing some steps for your programs.It is based on llvm(Low Level Virtual Machine,http://llvm.org/).Now,it's only a begining,so welcome anybody to join in.

An advanced audio library, written in C#. Provides tons of features. From playing/recording audio to decoding/encoding audio streams/files to processing audio data in real-time (e.g. applying custom effects during playback, creating visualizations). The possibilities are nearly unlimited. CSCore is a free .NET audio library which is completely written in C#. Although it is still a rather young project, it offers tons of features like playing or capturing audio, en- or decoding many different codecs, effects and much more! CSCore is based on a very extensible architecture that allows you to make it fit to your needs without any major effort. You can build music players, voice chats, audio recorders and so on! Supported platforms, Windows only, Linux and mac experimental. Optimized performance though the usage of CLI instructions provided by a custom post compiler.

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.

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.

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.

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.

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.