Open Source Linux Code Coverage Tools
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Code Coverage Tools for Linux
View 43 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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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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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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Sales CRM and Pipeline Management Software | PipedrivePipedrive’s simple interface empowers salespeople to streamline workflows and unite sales tasks in one workspace. Unlock instant sales insights with Pipedrive’s visual sales pipeline and fine-tune your strategy with robust reporting features and a personalized AI Sales Assistant.
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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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The Ultimate Quiz Maker & Engagement PlatformRiddle is an online platform for creating interactive content such as quizzes, surveys, personality tests, prediction games, and leaderboards. Our customers create content on our platform and then embed it on their website. The goal? Increased engagement, lead generation, segmentation, and content monetization - all 100% GDPR compliant.
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