Open Source Linux Code Coverage Tools
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Code Coverage Tools for Linux
View 44 business solutionsBrowse free open source Code Coverage tools and projects for Linux below. Use the toggles on the left to filter open source Code Coverage tools by OS, license, language, programming language, and project status.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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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.
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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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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.
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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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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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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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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).
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ZK Unit extends JUnit to test your ZK project: ZUL pages, composers, event handlers, constraints and more. Use ZKUnit for test driven development, to achieve code coverage and integration with a continous build system.
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xCover is a C/C++ library that uses low-impact syntactic signalling to detect code coverage in a code base at runtime
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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