Codase Alternatives

Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting embedded and enterprise markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.

Sahi Pro is a suite of automation tools for web, web services, Windows desktop, Java and mobile applications. With features like automatic waits, recorders, accessor spy, inbuilt framework and editor, parallel and distributed playback, automatic logging and reporting, javascript code coverage, multi-language support etc., Sahi Pro saves 70% of time and effort normally spent in test automation. Sahi Pro is trusted by over 400 companies worldwide and is fast emerging as the preferred test automation tool in the agile world. Simple to use and easy to learn. Tester-centric while being business-driven. A Test Automation Platform that truly understands your business needs. Sahi Pro is the perfect test automation platform for rockstar QA engineers working on almost any tech stack. Agile quality assurance delivered. Rapid stable playback with continuous Integration for quick feedback.

Hound is an extremely fast source code search engine. The core is based on this article (and code) from Russ Cox: Regular expression matching with a trigram index. Hound itself is a static React frontend that talks to a Go backend. The backend keeps an up-to-date index for each repository and answers searches through a minimal API. Currently Hound is only tested on MacOS and CentOS, but it should work on any *nix system. Hound on Windows is not supported but we've heard it compiles and runs just fine (although it helps to to exclude your data folder from Windows Search Indexer).

Point Sourcegraph at the repositories you work with, stored in any code host, or search across the open source universe. Get answers quickly with literal, structural, and regular expression search, along with smart filters and Code Intelligence. Connect all your other tools to get things like test coverage, 1-click open file in editor, custom highlighting, and information from your other favorite services all in one place with extensions. Create living documentation with Markdown and live code queries to get engineers up to speed on unfamiliar code faster. Navigate through complex parts of your codebase or resolve incidents with collaborative and shareable notebooks. Embed notebooks anywhere you can embed HTML, like your own internal documentation, so you can spend less time updating stale docs. Search across every repository and code host to get to know the repository structure and learn from other developers' code.

Kooder is an open source code search project, offering code, repositories and issues search service for code hosting platforms including Gitee, GitLab and Gitea. There are two modules, gateway and indexer. Gateway is integrated inside gateway under default config.

Livegrep is a tool, partially inspired by Google Code Search, for interactive regex search of ~gigabyte-scale source repositories. To run livegrep, you need to invoke both the codesearch backend index/search process, and the livegrep web interface. To run the sample web interface over livegrep itself, once you have built both codesearch and livegrep. The codesearch binary is responsible for reading source code, maintaining an index, and handling searches. livegrep is stateless and relies only on the connection to codesearch over a TCP connection. By default, codesearch will build an in-memory index over the repositories specified in its configuration file. You can, however, also instruct it to save the index to a file on disk. This has the dual advantages of allowing indexes that are too large to fit in RAM, and of allowing an index file to be reused.

Sourcetrail is an interactive source explorer that simplifies navigation in existing source code by indexing your code and gathering data about its structure. Sourcetrail then provides a simple interface consisting of three interactive views, each playing a key role in helping you obtain the information you need. Search: Use the search field to quickly find and select indexed symbols in your source code. The autocompletion box will instantly provide an overview of all matching results throughout your codebase. Graph: The graph displays the structure of your source code. It focuses on the currently selected symbol and directly shows all incoming and outgoing dependencies to other symbols. Code: The Code view displays all source locations of the currently selected symbol in a list of code snippets. Clicking on a different source location allows you to change the selection and dig deeper.

Search, track, and visualize code changes. Visualize and report on activity and search for commits, files, revisions, or teammates across SVN, Git, Mercurial, CVS and Perforce. View changes with a side-by-side or unified diff tool and link your Jira Software issues directly to diffs, changeset details, or full source. Get a graphical representation of activity in your source, report on lines of code over time, and get a visual audit trail of changes. Follow what's happening throughout your projects with activity streams showing commits, Jira Software issues, and Crucible review activities across your team. Find code fast with search using any artifact in your code: file names, commit messages, authors, text, and even historical changes. Browse, index, and search all your source from all your source code management systems including SVN, Git, Mercurial, CVS and Perforce – all in one tool. Upgrade your workflow with Jira Software, Bitbucket Server, Bamboo and more.

DataFragment is a search engine for source code used by thousands of leading tech companies around the world. We help them on many aspects going from finding new clients for their SaaS products to auditing cyber-security risks. We crawls the whole web with our technology in order to construct the biggest source code searchable database.

Search through your favorite sources and use AI to write code, faster, for free. Customize your search with 150+ apps like StackOverflow, Medium, Amazon and Twitter. Protect your data while you browse the web. A search engine free of tracking and invasive ads.

Merobase is a search engine solution that helps developers find, share and reuse software components from the Internet. merobase supports the following candidate matching solutions: Test-driven search (software testing) and interface-driven code search and keyword-based search.

Ultimate solution for digital marketing and affiliate marketing research, PublicWWW allow you to perform searches this way, something that is not possible with other regular search engines. Find related websites through the unique HTML codes they share, i.e. widgets & publisher IDs. Identify sites using certain images or badges. Find out who else is using your theme. References to use a library or a platform. Find code examples on the internet. Figure out who is using what JS widgets on their sites.

Type any term you want to search for in the search box and press the enter key. Generally best results can be gained by searching for terms that you expect to be close to each other on the same line. Other characters are treated as part of the search itself. This means that a search for something such as i++; is not only a legal search it is likely to return results for most code bases. Any search can be filtered down to a specific source or identified language using the refinement options. Select one or more of each and click the "Apply" button to do this. Filters on the normal interface persist between searches. This allows you to select a specific repository or language and continue searching. To clear applied filters uncheck the filters individually and click on "Filter Selected". You can also click "Clear Filters" button to clear all active filters. The HTML only page filters are cleared between every new search.

Search multiple sources at once and find solutions to your coding problems. Code examples, issues, questions, docs – everything at your fingertips. Trying this new library? Looking for some projects that use it? Wondering how other projects implement the feature you’re working on? You can now filter GitHub results based on the libraries the project depends on. Similar API syntax is no longer an issue to worry when searching for code. Create developer profiles based on the projects you’re working on. Our ML-powered Ranker will analyze and rank the results based on relevancy for your current profile. Pick from a list of suggested custom sources curated for the technologies and tools from your developer profile.

Lightning-fast answers, documentation, and code snippets for your dev queries. AI-powered agents decipher your complex questions and craft tailored solutions. Seamlessly interact with your repositories for contextualized search and assistance. Unlock unlimited searches with the most powerful model GPT-4. Devv is the next-gen search engine for developers. Devv offers a new mode designed to deliver more accurate and detailed responses. Multi-agent architecture that employs different agents and language models based on the specific requirements of the task at hand. Now, you have the ability to generate Python code and execute it directly within Devv. Devv is solely dedicated to developing scenarios. This can let us focus more on building better search indices and models. Our mission is to create the premier information retrieval tool for developers.

We help you deliver code confidently by showing which parts of your code aren’t covered by your test suite. Free for open-source repositories. Pro accounts for private repositories. Instant sign-up through GitHub, Bitbucket, and Gitlab. Maintaining a well-tested codebase is mission-critical. Figuring out where your tests are lacking can be painful. You're already running your tests on a continuous integration server, so shouldn't it be doing the heavy lifting? Coveralls works with your CI server and sifts through your coverage data to find issues you didn't even know you had before they become a problem. If you're just running your code coverage locally, you won't be able to see changes and trends that occur during your entire development cycle. Coveralls lets you inspect every detail of your coverage with unlimited history. Coveralls takes the pain out of tracking your code coverage. Know where you stand with your untested code. Develop with confidence that your code is covered.

PHPUnit requires the dom and json extensions, which are normally enabled by default. PHPUnit also requires the pcre, reflection, and spl extensions. These standard extensions are enabled by default and cannot be disabled without patching PHP’s build system and/or C sources. The code coverage report feature requires the Xdebug (2.7.0 or later) and tokenizer extensions. Generating XML reports requires the xmlwriter extension. Unit Tests are primarily written as a good practice to help developers identify and fix bugs, to refactor code and to serve as documentation for a unit of software under test. To achieve these benefits, unit tests ideally should cover all the possible paths in a program. One unit test usually covers one specific path in one function or method. However a test method is not necessarily an encapsulated, independent entity. Often there are implicit dependencies between test methods, hidden in the implementation scenario of a test.

NCover Desktop is a Windows application that helps you collect code coverage statistics for .NET applications and services. After coverage is collected, Desktop displays charts and coverage metrics in a browser-based GUI that allows you to drill all the way down to your individual lines of source code. Desktop also allows you the option to install a Visual Studio extension called Bolt. Bolt offers built-in code coverage that displays unit test results, timings, branch visualization and source code highlighting right in the Visual Studio IDE. NCover Desktop is a major leap forward in the ease and flexibility of code coverage tools. Code coverage, gathered while testing your .NET code, shows the NCover user what code was exercised during the test and gives a specific measurement of unit test coverage. By tracking these statistics over time, you gain a concrete measurement of code quality during the development cycle.

Coco® is a multi-language code coverage tool. Automatic source code instrumentation is used to measure test coverage of statements, branches and conditions. Executing a test suite against an instrumented application produces data that can later be analyzed. This analysis can be used to understand how much of the source code has been hit by tests, which additional tests need to be written, how the test coverage changed over time and more. Identify redundant tests, untested or dead code. Identify the impact of a patch on the code and code coverage & your testing. Coco supports statement coverage, branch coverage, MC/DC and other levels. Linux, Windows, RTOS and others. Using GCC, Visual Studio, embedded compilers and more. Choice of different report formats (text, HTML, XML, JUnit, Cobertura). Coco can also be integrated with various build, test and CI frameworks like JUnit, Jenkins and SonarQube.

OpenCppCoverage is an open-source code coverage tool for C++ under Windows. The main usage is for unit testing coverage, but you can also use it to know the executed lines in a program for debugging purposes. Support compiler with a program database file (.pdb). Just run your program with OpenCppCoverage, no need to recompile your application. Exclude a line based on a regular expression. Coverage aggregation, to run several code coverages and merge them into a single report. Requires Microsoft Visual Studio 2008 or higher for all editions including the Express edition. It should also work with the previous version of Visual Studio. You can run the tests with the Test Explorer window.

The JCov open-source project is used to gather quality metrics associated with the production of test suites. JCov is being opened in order to facilitate the practice of verifying test execution of regression tests in OpenJDK development. The main motivation behind JCov is the transparency of test coverage metrics. The advantage to promoting standard coverage based on JCov is that OpenJDK developers will be able to use a code coverage tool that stays in the 'lock step' with Java language and VM developments. JCov is a pure java implementation of a code coverage tool that provides a means to measure and analyze dynamic code coverage of Java programs. JCov provides functionality to collect method, linear block, and branch coverage, as well as show uncovered execution paths. It is also able to show a program's source code annotated with coverage information. From a testing perspective, JCov is most useful to determine execution paths.

A seamless JavaScript code coverage library. Blanket.js is a code coverage tool for JavaScript that aims to be easy to install, easy to use, and easy to understand. Blanket.js can be run seamlessly or can be customized for your needs. JavaScript code coverage compliments your existing JavaScript tests by adding code coverage statistics (which lines of your source code are covered by your tests). Parsing the code using Esprima and node-falafel, and instrumenting the file by adding code tracking lines. Connecting to hooks in the test runner to output the coverage details after the tests have been completed. A Grunt plugin has been created to allow you to use Blanket like a "traditional" code coverage tool (creating instrumented copies of physical files, as opposed to live-instrumenting). Runs the QUnit-based Blanket report headlessly using PhantomJS. Results are displayed on the console, and the task will cause Grunt to fail if any of your configured coverage thresholds are not met.

Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/

The LDRA tool suite is LDRA’s flagship platform that delivers open and extensible solutions for building quality into software from requirements through to deployment. The tool suite provides a continuum of capabilities including requirements traceability, test management, coding standards compliance, code quality review, code coverage analysis, data-flow and control-flow analysis, unit/integration/target testing, and certification and regulatory support. The core components of the tool suite are available in several configurations that align with common software development needs. A comprehensive set of add-on capabilities are available to tailor the solution for any project. LDRA Testbed together with TBvision provide the foundational static and dynamic analysis engine, and a visualization engine to easily understand and navigate standards compliance, quality metrics, and code coverage analyses.

Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day.

It understands various program file formats and history from many Source Code Management systems. In other words it lets you grok (profoundly understand) source code and is developed in the open, hence the name OpenGrok. It is written in Java. Search for full text, definitions, symbols, path and revision history. Show the matching lines in search results. Online cross-reference with syntax highlighting, highly customizable look and feel using CSS stylesheets. Plugins can be written for new programing language or revision control systems.

Debugging should be simple. AQTime Pro synthesizes complex memory and performance information into digestible, actionable insights so you can quickly find bugs and their root cause. Finding and squashing highly differentiated bugs is tedious and complicated, but AQTime Pro makes it easy. With over a dozen profilers, you can find memory leaks, performance bottlenecks, code coverage gaps and more in just a few clicks. AQTime Pro enables you to squash all bugs with one tool and get back to making high quality code. Don’t let code profilers box you in with a single codebase or framework and prevent you from finding performance bottlenecks, memory leaks, code coverage gaps unique to your project. AQTime Pro is the one tool to use across multiple codebases and frameworks in a project. It has broad language support for C/C++, Delphi, .NET, Java and more.

Actionable test coverage for Ruby and GitHub. Checks and insights to help your team ship healthy code while saving time on PR reviews. Stop focusing on getting to 100% test coverage. Reduce pull request defects by telling when the changed code is untested before it's deployed to production. The CI server runs tests and uploads coverage data to UndercoverCI. That's the only required post-install setup step! We scan the PR diff and verify local test coverage for each updated class, method, and block because an absolute percentage check is not enough. Reveal untested methods and blocks, find unused code paths, and improve your test suite. Install UndercoverCI's hosted GitHub App or explore the Ruby gems family. Fully-featured GitHub App code review integration with quick setup for your organization. The UndercoverCI project and related Ruby gems are entirely open-source and free to use locally and in your CI/CD workflows.

Develop healthier code. Improve your code review workflow and quality. Codecov provides highly integrated tools to group, merge, archive, and compare coverage reports. Free for open source. Plans starting at $10/user per month. Ruby, Python, C++, Javascript, and more. Plug and play into any CI product and workflow. No setup required. Automatic report merging for all CI and languages into a single report. Get custom statuses on any group of coverage metrics. Review coverage reports by project, folder and type test (unit tests vs integration tests). Detailed report commented directly into your pull request. Codecov is SOC 2 Type II certified, which means a third-party audits and attests to our practices to secure our systems and your data.

Save time and money by finding and fixing defects earlier. Reduce the effort and cost of delivering high-quality software by preventing more complicated and expensive problems down the line. Ensure your C# or VB.NET code complies with a wide range of safety and security industry standards, including the requirement traceability mandated and the documentation required to verify compliance. Parasoft's C# testing tool, Parasoft dotTEST, automates a broad range of software quality practices for your C# and VB.NET development activities. Deep code analysis uncovers reliability and security issues. Code coverage, requirements traceability, and automated compliance reporting helps achieve compliance for security standards and safety-critical industries.

DeepSource helps you automatically find and fix issues in your code during code reviews, such as bug risks, anti-patterns, performance issues, and security flaws. It takes less than 5 minutes to set up with your Bitbucket, GitHub, or GitLab account. It works for Python, Go, Ruby, and JavaScript. DeepSource covers all major programming languages, Infrastructure-as-Code, secrets detection, code coverage, and more. You won't need any other tool to protect your code. Start building with the most sophisticated static analysis platform for your workflow and prevent bugs before they end up in production. Largest collection of static analysis rules in the industry. Your team's central hub to track and take action on code health. Put code formatting on autopilot. Never let your CI break on style violations. Automatically generates and applies fixes for issues in a couple of clicks.

Security teams can quickly pinpoint the spread of Security Issues from CVE, OWASP, Stackoverflow and other published resources. Krugle helps developers discover important code fixes, share problem solving insights and troubleshoot complex problems. Support engineers use Krugle Enterprise to share existing fixes, document issues, verify project details and track down key resources. Krugle delivers continuously updated, federated access to all of the code and technical information that defines your business. Krugle search helps your organization pinpoint critical code patterns and application issues - immediately and at massive scale.

Bitbucket is more than just Git code management. Bitbucket gives teams one place to plan projects, collaborate on code, test, and deploy. Free for small teams under 5 and priced to scale with Standard ($3/user/mo) or Premium ($6/user/mo) plans. Keep your projects organized by creating Bitbucket branches right from Jira issues or Trello cards. Build, test and deploy with integrated CI/CD. Benefit from configuration as code and fast feedback loops. Approve code review more efficiently with pull requests. Create a merge checklist with designated approvers and hold discussions right in the source code with inline comments. Bitbucket Pipelines with Deployments lets you build, test and deploy with integrated CI/CD. Benefit from configuration as code and fast feedback loops. Know your code is secure in the Cloud with IP whitelisting and required 2-step verification. Restrict access to certain users, and control their actions with branch permissions and merge checks for quality code.

Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress.

Our platform uses various security techniques, including coverage-guided and feedback-based fuzz testing, to automatically generate millions of test cases that trigger hard-to-find bugs deep within your application. This white-box approach protects against edge cases and speeds up development. Advanced fuzzing engines generate inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Uncover true vulnerabilities only. Get the input and stack trace as proof, so you can reliably reproduce errors every time. AI white-box testing uses data from all previous test runs to continuously learn the inner-workings of your application, triggering security-critical bugs with increasingly high precision.

Tarpaulin is a code coverage reporting tool for the cargo build system, named for a waterproof cloth used to cover cargo on a ship. Currently, tarpaulin provides working line coverage and while fairly reliable may still contain minor inaccuracies in the results. A lot of work has been done to get it working on a wide range of projects, but often unique combinations of packages and build features can cause issues so please report anything you find that's wrong. Also, check out our roadmap for planned features. On Linux Tarpaulin's default tracing backend is still Ptrace and will only work on x86 and x64 processors. This can be changed to the llvm coverage instrumentation with engine llvm, for Mac and Windows this is the default collection method. It can also be run in Docker, which is useful for when you don't use Linux but want to run it locally.

jscoverage tool, both node.js and JavaScript support. Enhance the coverage range. Use mocha to load the jscoverage module, then it works. jscoverage will append coverage info when you select list or spec or tap reporter in mocha. You can use covout to specify the reporter, like HTML, and detail. The detail reporter will print the uncovered code in the console directly. Mocha runs test case with jscoverage module. jscoverage will ignore files while listing in covignore file. jscoverage will output a report in HTML format. jscoverage will inject a group of functions into your module exports. default jscoverage will search covignore in the project root. jscoverage will copy exclude files from the source directory to the destination directory.

SymbolHound is a search engine that doesn't ignore special characters. This means you can easily search for symbols like &, %, and π. We hope SymbolHound will help programmers find information about their chosen languages and frameworks more easily. SymbolHound is primarily a programming search engine. Searching for symbols is just not that useful for the average Internet user. Google could probably very easily do this, but it wouldn't make their search engine any better for the vast majority of their user base; in fact, it might make it worse. But for the small percentage of people who find themselves needing to search for special characters, Google is not useful. However, SymbolHound is a symbol search engine and is perfect for that query.

JaCoCo is a free code coverage library for Java, which has been created by the EclEmma team based on the lessons learned from using and integrating existing libraries for many years. The master branch of JaCoCo is automatically built and published. Due to the test-driven development approach, every build is considered fully functional. See the change history for the latest features and bug fixes. SonarQube code quality metrics of the current JaCoCo implementation are available on SonarCloud.io. Integrate JaCoCo technology with your tools. Use JaCoCo tools out of the box. Improve the implementation and add new features. There are several open-source coverage technologies for Java available. While implementing the Eclipse plug-in EclEmma the observation was that none of them are really designed for integration. Most of them are specifically fit to a particular tool (Ant tasks, command line, IDE plug-in) and do not offer a documented API that allows embedding in different contexts.

You.com is a search engine that summarizes the best parts of the internet for you, without ads and with great privacy. Our AI will help you find the most relevant results from the web and apps that you can sort and prioritize for optimum search experience. We believe that you should control your search: your privacy, results, and time. We don’t store any sensitive data. The only data we store is used to improve your search and never sold or distributed to third parties. Signing in to You.com will give you control over what types of websites you want to see in your results. Over time, search results get better and better with the help of AI and your preferences. The multi-dimensional interface with horizontal and vertical scrolling lets you discover more in less time. Personalize your search with 150+ apps like StackOverflow, Medium, Amazon and Twitter. Protect your data while you browse the web. A search engine free of tracking and invasive ads.

Gcov is an open-source code-coverage tool.

This module provides code coverage metrics for Perl. Code coverage metrics describe how thoroughly tests exercise code. By using Devel::Cover you can discover areas of code not exercised by your tests and determine which tests to create to increase coverage. Code coverage can be considered an indirect measure of quality. Devel::Cover is now quite stable and provides many of the features to be expected in a useful coverage tool. Statement, branch, condition, subroutine, and pod coverage information is reported. Statement and subroutine coverage data should be accurate. Branch and condition coverage data should be mostly accurate too, although not always what one might initially expect. Pod coverage comes from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead.

BullseyeCoverage is an advanced C++ code coverage tool used to improve the quality of software in vital systems such as enterprise applications, industrial control, medical, automotive, communications, aerospace and defense. The function coverage metric gives you a quick overview of testing completeness and indicates areas with no coverage at all. Use this metric to broadly raise coverage across all areas of your project. Condition/decision coverage provides detail at the control structure level. Use this metric to attain high coverage in specific areas, for example during unit testing. C/D coverage provides better detail than statement coverage or branch coverage, and provides much better productivity than more complex coverage metrics.

Kcov is a FreeBSD/Linux/OSX code coverage tester for compiled languages, Python and Bash. Kcov was originally a fork of Bcov, but has since evolved to support a large feature set in addition to that of Bcov. Kcov, like Bcov, uses DWARF debugging information for compiled programs to make it possible to collect coverage information without special compiler switches.

Balance your effort spent on writing applications and test code. Use the most sophisticated code coverage tool for Java and Groovy. OpenClover measures code coverage for Java and Groovy and collects over 20 code metrics. It not only shows you untested areas of your application but also combines coverage and metrics to find the riskiest code. The Test Optimization feature tracks which test cases are related to each class of your application code. Thanks to this OpenClover can run tests relevant to changes made in your application code, significantly reducing test execution time. Do testing getters and setters bring much value? Or machine-generated code? OpenClover outruns other tools in its flexibility to define the scope of coverage measurement. You can exclude packages, files, classes, methods, and even single statements. You can focus on testing important parts of your code. OpenClover not only records test results but also measures individual code coverage for every test.

It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet supports coverage for deterministic builds. The solution at the moment is not optimal and need a workaround. If you want to visualize coverlet output inside Visual Studio while you code, you can use the following addins depending on your platform. 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. The invocation of the test runner with the supplied arguments must not involve a recompilation of the unit test assembly or no coverage result will be generated.

grcov collects and aggregates code coverage information for multiple source files. grcov processes .profraw and .gcda files which can be generated from llvm/clang or gcc. grcov also processes lcov files (for JS coverage) and JaCoCo files (for Java coverage). Linux, macOS and Windows are supported.

The easiest way to unit test. Write tests without changing your code! Even legacy code. Static methods, private methods, non-virtual methods, out parameters and even members and fields. Our professional edition is free for developers around the world. We also have paid support package. Improve your code integrity and deliver quality code. Fake entire object models with a single statement. Mock statics, private, constructors, events, linq, ref args, live, future, static constructors. Our suggest feature creates automated test suggestions suitable for your code. Our smart runner will run only your impact tests and get you super fast feedback. Our coverage feature displays your code coverage in your editor while you code.

Try your first CodeRush feature right now and see instantly just how powerful it is. Refactoring for C#, Visual Basic, and XAML, with the fastest test .NET runner available, next generation debugging, and the most efficient coding experience on the planet. Quickly find symbols and files in your solution and easily navigate to code constructions related to the current context. CodeRush includes the Quick Navigation and Quick File Navigation features, which make it fast and easy to find symbols and open files. Using the Analyze Code Coverage feature, you can discover what parts of your solution are covered by unit tests, and find the at-risk parts of your application. The Code Coverage window shows percentage of statements covered by unit tests for each namespace, type, and member in your solution.