Alternatives to CodeRush

TrustInSoft commercializes a source code analyzer called TrustInSoft Analyzer, which analyzes C and C++ code and mathematically guarantees the absence of defects, immunity of software components to the most common security flaws, and compliance with a specification. The technology is recognized by U.S. federal agency the National Institute of Standards and Technology (NIST), and was the first in the world to meet NIST’s SATE V Ockham Criteria for high quality software. The key differentiator for TrustInSoft Analyzer is its use of mathematical approaches called formal methods, which allow for an exhaustive analysis to find all the vulnerabilities or runtime errors and only raises true alarms. Companies who use TrustInSoft Analyzer reduce their verification costs by 4, efforts in bug detection by 40, and obtain an irrefutable proof that their software is safe and secure. The experts at TrustInSoft can also assist clients in training, support and additional services.

Parasoft's AI-powered testing platform and automated solutions help organizations deliver high-quality software continuously. Parasoft's proven technology reduces the time, effort and cost associated with delivering secure, compliant, and reliable software. This is done by integrating everything, from deep code analysis and API testing to web UI testing and unit testing, as well as service virtualization and full code coverage, into delivery pipelines. Bringing all this together, Parasoft's award-winning reporting and analytics dashboard provides a centralized view of quality, enabling organizations to deliver with confidence and succeed in today's most strategic ecosystems and development initiatives--security, safety-critical, Agile, DevOps, and continuous testing.

Maintain high-quality code while adhering to agile development cycles. Jtest's extensive Java testing tools will ensure that you code flawlessly at every stage of Java software development. Streamline Compliance with Security Standards. Ensure that your Java code conforms to industry security standards. Automated generation of compliance verification documentation Get Quality Software Out Faster Java testing tools can be integrated to detect defects faster and more efficiently. Reduce time and costs by avoiding costly and complicated problems later. Increase your return on unit testing. Create a set of JUnit test suites that are easy to maintain and optimize for code coverage. Smart test execution allows you to get faster feedback from CI as well as within your IDE. Parasoft Jtest integrates seamlessly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback about your testing and compliance progress.

CodiumAI analyzes your code to generate meaningful tests that catch bugs before you ship. CodiumAI analyzes your code and surfaces any edge cases. It tags any suspicious behavior. It then generates meaningful and clear unit tests that match your code's behavior. You will have full visibility into how your code behaves and how changes to your code affect the rest. Code coverage is broken. Meaningful tests are able to verify functionality and give you the confidence to commit. Spend less time writing test cases that are not valid and more time creating useful features for your users. CodiumAI analyzes your code, comments, and docstrings, and suggests tests as you write. You just need to add them to your code suite. CodiumAI is focused upon code integrity. We create tests that help you understand your code; find edge cases and suspicious behavior; and make your code more robust.

Visual Studio Extension for.NET developers. C#, VB.NET and XAML are available for code quality analysis in C#, VB.NET and ASP.NET MVC. Your code will be immediately analyzed and you can see if it needs to be improved. ReSharper not only warns you when your code is broken, but it also provides hundreds of quick-fixes that can be used to fix problems immediately. You can choose the best quick-fix for almost any case from a wide range of options. Automated solution-wide code restructurings allow you to safely modify your code base. ReSharper is the perfect tool to help you revitalize legacy code and organize your project structure. You can quickly navigate and search the entire solution. You can jump to any file, type or member of a type or navigate from a specific symbol's usages, base symbols, or implementations.

PHPUnit needs the dom, json extensions. These extensions are usually enabled by default. PHPUnit also needs the reflection, pcre and spl extensions. These extensions are default enabled and cannot be disabled without patching PHP’s build system or C sources. To use the code coverage report feature, you will need to have the Xdebug (2.7.0 and later) and tokenizer extensions. The xmlwriter extension is required to generate XML reports. Unit tests are intended to be a good practice for developers to identify and fix bugs, refactor code, and serve as documentation for the unit of software being tested. Unit tests should cover all possible paths within a program to reap these benefits. A unit test typically covers one path within a function or method. A test method is not always an independent, encapsulated entity. There are often implicit dependencies between test method, which are hidden in the test's implementation scenario.

This is the easiest way to unit-test. You can write tests without having to modify your code. Even legacy code. Methods, private methods, nonvirtual methods and out parameters, as well as members and fields. Developers around the globe can use our professional edition for no cost. You can also purchase a paid support package. You can improve your code integrity and produce quality code. You can create entire object models by using one statement. Mock statics, private constructors and events. Our suggestion feature generates test suggestions that are suitable for your code. Our smart runner will run your impact tests and give you instant feedback. While you code, our coverage feature displays your code coverage.

DotCover is a.NET code coverage and unit testing tool that works in Visual Studio and JetBrains Rider. It allows you to see code coverage and helps you to know how much code is covered by unit tests. dotCover calculates and reports the statement-level code coverage for applications that target.NET Framework,.NET Core or Mono for Unity. DotCover is a plug in to Visual Studio and JetBrains Rider. It allows you to analyze and visualize code coverage without ever leaving the code editor. You can run unit tests and analyze coverage results directly in the IDEs. There are also support for new icons, color themes, and menus. DotCover is packaged with ReSharper, a JetBrains tool that allows you to run unit tests. dotCover supports continuous test, which is a modern unit-testing workflow that allows dotCover to determine on-the-fly which unit testers are affected by code changes.

Xdebug is a PHP extension that provides a variety of features to enhance the PHP development experience. You can step through your code while the script is running in your editor or IDE. A new var_dump() function that allows you to stack trace your code to highlight warnings, errors and exceptions. Writes every function call, including arguments and invocation location to the disk. Optionally, includes each variable assignment and return value for each of the functions. With the help of visualization tools, you can analyze the performance of your PHP app and identify bottlenecks. This tool allows you to see which parts of your code are executed when PHPUnit runs unit tests. The fastest way to install Xdebug is often with a package manager. You can replace the PHP version you are using with the version that is compatible. Xdebug can be installed via PECL on Linux & macOS using Homebrew.

All the Python tools in one location. PyCharm will take care of the routine, saving you time. To make the most of PyCharm's productivity features, you should focus on the important things. PyCharm has all the information you need about your code. PyCharm can help you with intelligent code completion, quick error checking and quick fixes, project navigation, and many other things. The IDE allows you to write clean and maintainable code and helps you maintain control of quality with PEP8 tests, testing assistance and smart refactorings. PyCharm was created by programmers for programmers to give you all the tools you need to create Python code. PyCharm offers smart code completion, code inspections and quick-fixes. It also includes automated code refactorings.

To ensure that code is readable and maintainable, identify potential problems early. The rules database identifies possible problems and identifies issues in code structure, design and complexity. This can be used to improve code quality. Many causes of application instability include memory leaks and overlays as well heap and stack corruption, API misuse, and overruns. If runtime errors are not detected, they can be identified and corrected. Testers, developers, and managers can quickly assess the coverage of runtime application tests. Add tests that do not execute lines of code to address testing gaps. TrueTime detects when code threads change in and out of processing. TrueTime displays its findings in the contexts of lines, methods and classes to help you pinpoint slow items in your application. For a deeper quantitative assessment of testing, apply coverage analysis to unit-testing.

The LDRA tool Suite is LDRA’s flagship platform. It provides open and extensible solutions to build quality into software, from requirements through 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. There are many configurations of the core components of this tool suite that can be used to meet common software development needs. You can tailor the solution to any project with a comprehensive range of add-on capabilities. TBvision and LDRA Testbed provide the foundational static/dynamic analysis engine. They also offer a visualization engine that allows users to easily understand and navigate standards compliance, quality metrics and code coverage analyses.

Velocity provides detailed, contextual analytics that enable engineering leaders to help their team members, resolve team roadblocks and streamline engineering processes. Engineering leaders can get actionable metrics. Velocity transforms data from commits to pull requests into the insights that you need to make lasting improvements in your team's productivity. Quality: Automated code reviews for test coverage, maintainability, and more so you can save time and merge with confidence. Automated code review comments for pull requests. Our 10-point technical debt assessment gives you real-time feedback so that you can focus on the important things in your code review discussions. You can get perfect coverage every time. Check coverage line-by-line within diffs. Never merge code again without passing sufficient tests. You can quickly identify files that are frequently modified and have poor coverage or maintainability issues. Each day, track your progress towards measurable goals.

All Go developers, whether they are newbies or professionals, can use the on-the-fly error identification and suggestions to fix it. One-step undo and intelligent code completion are all available. Documentation hints and dead code detection are also available. It takes a lot of effort and time to understand legacy, team, and foreign projects. GoLand code navigation allows you to quickly switch between shadowed methods, implementations and usages. You can jump between files, types, and other symbols. You can also find their usages, and examine them with a convenient grouping by type. You can run and debug your applications with powerful built-in tools. You can create and debug tests with no additional plugins or configuration work, and you can test your applications directly in the IDE. The IDE includes a built-in Code Coverage tool to ensure that your tests do not miss any important information.

BMC Compuware Xpediter, a collection of debuggers, interactive analysis tools, and debuggers for COBOL, Assembler and PL/I programs, helps developers quickly understand applications and make changes in a secure environment. Even if they don't know the source code, it allows them to quickly fix problems. Xpediter allows developers to quickly jump into interactive testing sessions and move applications into production faster. You can see line-by-line execution of code and manage all aspects of program execution. Code Coverage allows you to view metrics and see proof of execution for multi-platform applications. You can access Abend-AID diagnostic capabilities within a debugging session. Integrate Topaz for Program Analysis to see a graphical representation of the source code. Topaz for Total Test can be used to build a complete portfolio of automated virtualized test cases. Remotely intercept and debug mainframe transactions.

You can save time and money by finding and fixing problems earlier. You can reduce the time and expense of delivering high quality software by avoiding costly and more complex problems later. Ensure that your C# and VB.NET codes comply with a wide variety of safety and security industry standards. This includes the requirement traceability required and the documentation required for verification. Parasoft's C# tool, Parasoft dotTEST automates a wide range of software quality practices to support your C# or VB.NET development activities. Deep code analysis uncovers reliability issues and security problems. Automated compliance reporting, traceability of requirements, code coverage and code coverage are all key factors in achieving compliance for safety-critical industries and security standards.

DeepSource allows you to automatically identify and fix bugs in your code during code reviews. This includes security flaws, anti-patterns and bug risks. It takes less that 5 minutes to create your Bitbucket or GitLab account. It works with Python, Go, Ruby and JavaScript.

Debugging should not be complicated. AQTime Pro converts complex performance and memory information into easily digestible and actionable insights that allow you to quickly identify the root cause of bugs. Code bugs can drain your life! AQTime Pro makes it simple to find and squash highly differentiated bugs. You can quickly find memory leaks and performance bottlenecks as well as code coverage gaps with just a few clicks using over a dozen profilers. AQTime Pro allows you to find and fix all bugs in one tool, so you can get back to writing high-quality code. Code profilers shouldn't limit you to a single framework or codebase. They can prevent you from finding performance bottlenecks and memory leaks as well as code coverage gaps that are unique to your project. AQTime Pro can be used across multiple codebases or frameworks in a project. It supports many languages, including C/C++ and Delphi,.NET and Java.

Coco®, a tool for multi-language code coverage, is available. Automated source code instrumentation can be used to measure test coverage for statements, branches, and conditions. When a test suite is run against an instrumented application, data can be collected that can be later analyzed. This analysis can be used for understanding how much of the source code was touched by tests, which additional test suites need to be written, and how the test coverage has changed over time. Identify dead or untested code, redundant tests, and untested code. Identify the impact of a patch and code coverage. Coco supports branch coverage, statement coverage, MC/DC, and other levels. Linux, Windows, RTOS, and other platforms. GCC, Visual Studio and embedded compilers are all available. You can choose from text, HTML, XML and Cobertura report formats. Coco can also integrate with other build, test, and CI frameworks such as JUnit Jenkins, SonarQube, and SonarQube.

IDA Pro, as a disassembler, can create maps of their execution to show binary instructions that were actually executed by the processor in a symbolic representation. IDA Pro can generate assembly language source codes from machine-executable software and make this code more human-readable using advanced techniques. The dynamic analysis was added to IDA's debugging capabilities. It can handle remote applications and supports multiple debugging targets. Its cross-platform debugging capabilities allow instant debugging and easy connection to local and remote processes. IDA Pro allows the human analysts to override the disassembler's decisions or to give hints, so that the analyst can work seamlessly with the disassembler and more intuitively analyze binary code.

SonarCloud automatically analyzes and decorates pull request branches to maximize your throughput. To prevent undefined behavior from affecting end-users, catch tricky bugs. Security Hotspots will help you identify and fix vulnerabilities that could compromise your app. It takes just a few mouse clicks to get your code up and running. Instant access to the most recent features and enhancements. Project dashboards keep stakeholders and teams informed about code quality and releasability. Show your communities that you care about awesome by displaying project badges. Your entire stack should be concerned about code quality and security. We cover 24 languages, including C++, Java, Python, and many other. Transparency is a good thing and the trend is growing. Join the fun! Open-source projects are completely free!

Introducing Xcode 12. Introducing Xcode 12. Xcode 12 creates Universal apps by default to work with Apple Silicon. This is often done without changing a single line. Designed for macOS Big Sur. Xcode 12 looks great in macOS Big Sur. It has a navigator sidebar that extends to the top of your window and clears new toolbar buttons. The default font size for the navigator is a larger one that's easier reading, but you can choose from multiple sizes. You can create a working set within your workspace by creating new document tabs. Document tabs. You can open a new tab by double-clicking, or track the file as you move around the navigator. To create a working set for your current task, you can arrange the document tabs and change how content is displayed within each tab.

You should balance your time writing applications with testing code. The most advanced code coverage tool for Java or Groovy. OpenClover measures Java and Groovy code coverage and collects more than 20 code metrics. OpenClover not only shows you the untested areas of your app, but also combines coverage metrics to identify the most risky code. The Test Optimization feature shows you which test cases are related each class of your code. This feature allows OpenClover to run tests that are relevant to changes in your application code. This greatly reduces test execution time. Are testing getters and setters of value? Or machine-generated code. OpenClover is more flexible than other tools when it comes to defining the coverage measurement. You can exclude files, files, classes and methods as well as single statements. You can concentrate on testing the most important parts of your code. OpenClover records test results and measures code coverage for each test.

Coverage.py can be used to measure the code coverage of Python programs. It monitors your program and notifies you which parts have been executed. Then it analyzes the source code to find code that could have been executed. It is used to measure the effectiveness of tests. It can help you determine which parts of your code are being used by tests and which are not. Coverage run can be used to run your test suite, gather data, and run it again. You can run your test suite as usual, but your test runner can be run under coverage. If your test runner command begins with "python", replace it with "coverage run". To limit the coverage measurement to code in your current directory and to find files that were not executed, add the source argument (to your coverage command line). It will default measure line (or statement) coverage. It can also measure branch coverage. It can also tell you which tests were run on which lines.

OpenCppCoverage, a tool that covers C++ under Windows, is an open-source code cover tool. It is used primarily for unit testing coverage. However, you can also use the tool to determine the executed lines of a program for debugging purposes. Visual Studio support. Visual Studio support. OpenCppCoverage will run your program without you needing to recompile it. HTML reporting, line coverage. Run as Visual Studio Plugin. Jenkins support and optimized build. A regular expression can be used to exclude a line. Coverage for child processes. Coverage aggregation allows you to run multiple code coverages and combine them into one report. Requires Windows Vista and higher. All editions, including the Express edition, require Microsoft Visual Studio 2008 or greater. It should also work with previous versions of Visual Studio. The Test Explorer window can be used to run the tests.

Ruby and GitHub: Actionable test coverage Get insights and checks to help your team deliver healthy code. Stop focusing on 100% coverage of test coverage. Reduce defects in pull requests by notifying when the code hasn't been tested before it is deployed to production. The CI server runs tests, and uploads coverage data for UndercoverCI. This is the only post-installation step. We scan the PR diff to verify local coverage for each class, method, or block. An absolute percentage check is not sufficient. Untested methods and blocks are revealed, as well as unused code paths. This will help you improve your test suite. Explore the Ruby gems family or install UndercoverCI's hosted GitHub app. Easy setup for your organization with a fully-featured GitHub App code inspection integration. The UndercoverCI project, and the related Ruby gems, are completely open-source and can be used locally or in your CI/CD workflows.

A seamless JavaScript code coverage library. Blanket.js, a JavaScript code coverage tool, is easy to install, use, and understand. Blanket.js is easy to use and can be customized to your specific needs. JavaScript code coverage complements your JavaScript tests by including code coverage statistics (which lines in your source code are covered) Parsing the code with Esprima and Node-falafel and instrumenting the file using code tracking lines. After the tests are completed, connect to hooks in test runner to get the coverage details. Grunt has been made to allow Blanket to be used as a code coverage tool. This allows you to create instrumented copies from physical files instead of live-instrumenting. PhantomJS runs the QUnit-based Blanket report without any input. The console displays the results. Grunt will fail if you don't meet any coverage thresholds.

IntelliJ IDEA analyzes the code and finds connections between symbols in all files and languages. This information provides in-depth coding guidance, quick navigation, clever errors analysis, and, ofcourse, refactorings. Space gives you a list of the most relevant symbols applicable in the current context. This and other completions are continuously learning from you and move the members of the most commonly used classes and packages to top of the suggestions list so you can choose them faster. This is a deeper version of Smart Completion. It lists all applicable symbols that are accessible through methods or getters within the current context. Let's say you are looking for Project but only have the Module module declaration. Space twice to get module.getProject() without any additional effort. Complete static members Allows you to use constants or static methods easily. It displays a list of symbols that match your input and automatically adds the required import statements.

Cobertura, a Java tool that calculates how much code has been accessed by tests, is free. It can be used for identifying parts of your Java program that are not covered by tests. It is based upon jcoverage. Cobertura is a free program. It is free software. For more information, please refer to the file LICENSE.txt that is included in this distribution.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

Codase hosts a large number of open source codes, providing better coverage. It covers codes often hidden in compressed files and source control repositories that are difficult for general search engines to index. Codase also indexes and searches only high-quality codes. Every line of code is validated and compiled using an intelligent and powerful source code analysis engine. Codase, a privately owned company located in Silicon Valley, was founded by Dr. Huihong Luo along with other veterans. We are a group made up of passionate and innovative professionals with diverse business backgrounds, technologies and proven track records. Codase is the best source code search engine in the world, both in terms of performance, features and code coverage. Codase may be useful to developers, as we aim to improve your coding productivity.

We help you deliver code confidently. Open-source repositories are free. Pro accounts are available for private repositories. Sign up instantly through Bitbucket and Gitlab. It is vital to maintain a well-tested codebase. It can be difficult to identify the areas where your tests are failing. It's not difficult to find where your tests are lacking. You already run your tests on a continuous-integration server. Coveralls works in conjunction with your CI server to scan your coverage data and find issues before they become a problem. If you are only running your code coverage locally you won't see any changes or trends that occurred during your entire development cycle. Coveralls allows you to view every detail of your coverage, with unlimited history. Coveralls makes it easy to track your code coverage. You can see where you stand with untested code. You can be confident that your code is protected.

xUnit.net, a free, open-source, community-focused unit test tool for the.NET Framework, is available as a free, open-source, and freely available. xUnit.net was created by the original inventor NUnit v2. It is the latest technology to unit test C#, F# and other.NET languages. xUnit.net is compatible with ReSharper and CodeRush, TestDriven.NET, and Xamarin. It is part the.NET Foundation and operates under their code.

Catch2 is a unit testing framework in C++. However, it also offers basic micro-benchmarking and BDD macros. Catch2's greatest advantage is its simplicity and natural use. Test names don't have to be valid identifiers. Assertions look like regular C++ boolean expressions. Sections provide a convenient way to share setup and tear down code in tests. The v3 version is currently being developed and you are on the devel branch. v3 introduces a lot of changes. The most significant is that Catch2 is no more a single-header library. Catch2 behaves like a normal library with multiple headers and a separately compiled implementation. It's quick and easy to get started. You only need to download two files and add them to your project. No external dependencies. As long as C++14 can be compiled and the C++ standard library is available. You can write test cases using self-registering functions (or methods, depending on your preference).

It works with.NET Framework for Windows and.NET Core for all supported platforms. Coverlet supports coverage for deterministic builds. Unfortunately, the solution is not ideal and requires a workaround. Depending on your platform, the following addins can be used to visualize coverlet output in Visual Studio. Coverlet integrates with the build system for code coverage after tests. It is as easy as setting the CollectCoverage property true to enable code coverage. The path to the assembly containing the unit tests is what invokes the coverlet tool. Also, specify the test runner and arguments to pass to it using the --targetargs and --targetargs options. If you provide the arguments, the invocation of test runner must not result in a recompilation or deletion of the unit test assembly.

PlatformIO is a professional collaborative platform for embedded programming. PlatformIO is a next-generation collaborative platform for embedded software development. It allows customers to save time and money by greatly reducing the costs and labor involved in creating and maintaining product code. We believe that the embedded systems industry needs to be reinvented. Not only are IDEs and tools built using technology from the 1990s but they also have many requirements and platform-dependent configurations which prevent talented developers from becoming embedded engineers. This is the most popular IDE solution for Microsoft Visual Studio Code. An integrated development environment that is user-friendly and extensible. It includes a variety of powerful tools and features that will speed up the creation and delivery embedded products. PlatformIO is written entirely in Python and does not require any additional libraries or tools from an operation system.

Refraction is a tool that generates code for developers. It uses AI to generate code. It can be used to generate unit tests, documentation, and refactor code. You can generate code using AI in 34 languages: C#, C++ and CoffeeScript. Refraction is used by thousands of developers worldwide to create documentation, create unit test cases, refactor code, among other things. AI can automate tedious tasks such as testing, documentation, and revisions so that you can concentrate on the important parts of software development. Refactor, optimize and fix your code. Use various test frameworks to generate unit tests for your code. To make it easier to understand, explain the purpose of your code.

Jedi is a Python static analysis tool that can be used in IDEs and editor plugins. Jedi focuses on autocompletion, goto functionality, and has a lot of other features. Other features include code search, refactoring and finding references. Jedi offers a simple API for use. A reference implementation is available as a VIM Plugin. It is possible to autocompletion your REPL. IPython uses it natively. You can also install it for the CPython REPL. Jedi is well-tested and should have few bugs. A script is the foundation for Jedi completions, goto, or whatever else you might need. Interpreter is the other part of this class. It works with actual dictionary and can also work with a REPL. This class should be used when editing code in an editor. Most methods have both a line parameter and a column parameter. Jedi lines are always 1-based, while columns are always zero-based. They are not always documented to avoid repetition.

This module provides Perl code coverage metrics. This module provides code coverage metrics for Perl. They show how thoroughly tests use code. Devel::Cover allows you to identify areas of code that are not being used by your tests. You can also determine which tests to add to increase coverage. Code coverage can be considered an indirect indicator of quality. Devel::Cover has many of the features you would expect in a useful coverage tool. Reports include information on the coverage of statements, branches, conditions, subroutines, and pods. Subroutine and statement coverage data should be accurate. Although not always as accurate as one might expect, branch and condition coverage data should be generally accurate. Pod coverage is derived from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead.

BullseyeCoverage, an advanced C++ code cover tool, is used to improve software quality in vital systems like enterprise applications, industrial control and communications. Function coverage gives you an overview of testing completion and highlights areas that are not covered. This metric can be used to increase coverage in all areas of your project. Condition/decision coverage provides details at the control structure level. This metric can be used to achieve high coverage in certain areas, such as unit testing. C/D coverage is more detailed than branch coverage or statement coverage and can be used to achieve higher productivity than more complex coverage metrics.

JustMock allows for you to quickly isolate your testing scenario and let you focus on the logic that you want to verify. It seamlessly integrates with your favorite unit-testing framework, making mocking and unit testing quick and easy. Mock all types, including non-virtual methods and sealed classes. This tool is ideal for unit testing your.NET codes, whether you are dealing with legacy code that is difficult to maintain or code that has been written using best practices. The JustMock Debug Window allows you to find the answers you need while debugging your unit test code. It can help you identify the arguments that your mock object is called with, as well as why it isn't called or repeated. JustMock allows for critical feedback on the quality and completeness of your unit test code. This is a must-have for any organization that wants to produce high-quality code.

If you are looking for something simple and powerful, Komodo Edit is the editor for you. Komodo IDE offers more robust functionality, including debugging, unit-testing, code refactoring, and code profiling. Software vendors are increasingly at the forefront of security for customers, as one compromised patch or update can make hundreds, or even thousands, of your customers vulnerable to cyberattacks. Don't become the next SolarWinds. Instead of implementing multiple solutions and custom code, ActiveState Platform provides a one-of-a-kind solution that helps protect the integrity and security of open source components that you import, use, and run.

This plugin generates coverage reports. This plugin offers more than just coverage. Subprocess support is available so that you can fork and run stuff in subprocesses and get covered without fuss. Xdist support is available so that you can still use all the features of pytest.xdist and still receive coverage. Consistent pytest behavior. All features of the coverage package should work. In some cases, site packages may contain a stray file.pth. To ensure that each test run has clean data, the data file is deleted at the beginning of testing. You can combine coverage from multiple test runs by using the --cov-append option. This will add this coverage data to coverage data of previous test runs. It is possible to examine the data file using normal coverage tools.

SimpleCov is a Ruby code coverage analysis tool. It uses Ruby's built in Coverage library to gather code data. However, it makes processing the results easier by providing an API to filter, group merge, format and display those results. This allows you to create a complete code coverage suite with just a few lines of code. SimpleCov/Coverage track covered ruby codes, but coverage for common templating options like slim, erb, and haml was not possible. You will want to see all coverage results for your projects. This includes all types of tests and Cucumber features. SimpleCov automatically handles this by caching and merging reports when creating them. This ensures that your report includes coverage across all your test suites, and gives you a better view of any gaps. SimpleCov must run in the same process as the code coverage analysis.

A self-contained CodeCoverage compatible driver for PHP. PCOV will attempt, if left unset to find src and lib in the current working director in that order. If none are found, the current directory will be used. This could waste resources for storing coverage information. To avoid wasting resources, it is recommended that PCOV contain test code. To avoid unnecessary allocations of arenas for traces or control flow graphs, PCOV should always be set according to the test suite's memory requirements. To avoid reallocations of tables, PCOV should not be set higher than the number files that will be loaded during testing. This includes test files. Interoperability with Xdebug cannot be achieved. The executor function is disabled at an internal level by PCOV. Any extension or SAPI that does the same will also be broken. Code runs at full speed with PCOV, which is free and has no cost.

Fully-featured IDE that allows you to code, debug and test on any platform. Code faster. Work smarter. The best-in-class IDE helps you create the future. From initial design to final deployment, you can develop with the entire toolset. IntelliSense performance improved for C++ files. Local development using many common emulators. Solution Explorer simplifies test access. Git management and repo creation within the IDE. Microsoft Azure workload now includes Kubernetes support

Simple JavaScript test coverage. Istanbul instruments your ES5 JavaScript code with linecounters. This allows you to track how well your unit tests exercise your codebase. The nyc command line-client for Istanbul is compatible with most JavaScript testing frameworks (tap, mocha, AVA etc. First-class support of ES6/ES2015+ using babel-plugin-Istanbul. Support for JavaScript testing frameworks. Use the nyc command line interface to instrument subprocesses. It is easy to add coverage to your mocha test. Simply add the command nyc to your existing test command. The instrument command of nyc can be used to inspect source files in a context other than your unit tests. nyc can show you the Node processes that were spawned while running a test script. By default, nyc uses Istanbul’s text reporter. You can however specify an alternative reporter.

The JavaScript testing framework is powerful and easy to use. No configuration required for any Node.js project. Browser-based projects require minimal configuration. Node.js tests can be run from any browser. You can test your code wherever it runs. Flexible APIs allow you to customize QUnit to meet your needs. It is easy to get started with QUnit for Node.js. First, install QUnit using npm. Now you can run the test suite using the QUnitCLI. It is recommended to run the QUnit CLI command through an npm script. This will automatically locate the QUnit commands from your local dependencies. You can find more information about the QUnit APIs to organize tests and make assertions in the API documentation. QUnit supports current and maintenance LTS releases and follows the Node.js LTS schedule.

LuaCov is a coverage analyzer that Lua scripts can use. A Lua script that has the luacov module loaded is executed. It generates a stats report with the number of executions for each line and the loaded modules. This file is processed by the luacov command-line script, which generates a report file that allows one to see which code paths were not followed. This file can be used to verify the effectiveness of a test set. LuaCov includes several configuration options, which have their defaults stored in src/luacov/defaults.lua. These are the global defaults. To use project-specific configuration, create a Luascript setting options as globals and returning a table with some options. Then store it as.luacov within the project directory where luacov is running. This config tells LuaCov, for example, that foo module and submodules must be covered. They are located in the src directory.

Tarpaulin, a code coverage reporting tool for Cargo build system is named after a waterproof cloth that was used to cover cargo on ships. Tarpaulin currently provides working line coverage, but the results may not be 100% reliable. It has taken a lot of work to get it working on many different projects. However, sometimes unique combinations of packages or build features can cause problems so please report any issues. Check out our roadmap to see the planned features. Linux Tarpaulin's default trace backend is still Ptrace. It will only work with x86_64 processors. This can be changed to llvm coverage instrumentation by using --engine llvm. For Windows and Mac, this is the default collection method. You can also run it in Docker. This is useful for those who don't have Linux but still want to run it locally. during development. For more information, see below.