Alternatives to PHPUnit

Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software. 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.

You can instantly try your first CodeRush feature and discover how powerful it is. Refactoring for C# and Visual Basic. The fastest test.NET runner, next-generation debugging and the most efficient coding experience. You can quickly find symbols and files within your solution and navigate to code constructions relevant to the current context. CodeRush also includes Quick Navigation and Quick File Navigation, which make it quick and easy to locate symbols and open files. Analyze Code Coverage allows you to see which parts of your solution are covered and pinpoint the risky parts. The Code Coverage window displays the percentage of statements that have been covered by unit testing for each namespace, type and member of your solution.

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.

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.

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.

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.

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.

Diffblue Cover analyzes Java programs and creates unit regression tests that accurately reflect the current behavior. The CLI tool is 100% self-configuring and can be used in your Gradle or Maven environment. The CLI tool automates the test-writing process and provides a speed boost to organizations working towards achieving DevOps goals such as CI/CD. The CLI tool fits in a CI pipeline and protects the entire codebase from regressions by shifting testing to the left. Diffblue Cover's unit tests for regression are fast and verify any code changes immediately. This allows users to detect unwanted changes in code behavior as soon as possible. Teams can save even more time by having tests automatically maintained.

JUnit and NUnit are both inspired by TestNG, but it introduces some new functionalities to make it more powerful and easy to use. For example, you can run your tests in large thread pools with different policies (all methods in their own threads, one thread per class, etc.). It can be used to verify that your code is multithread-safe, it supports data-driven testing (with @DataProvider), supports parameters, and has a powerful execution model (no TestSuite). A variety of tools and plug ins are available to support the - such as Eclipse, IDEA, Maven, and many others. It also embeds BeanShell to provide additional flexibility. There are default JDK functions that allow for runtime and logging (no dependencies) and dependent methods for testing application servers. TestNG covers all types of tests: unit, functional, integration, and more.

Cantata is an integration and unit testing tool that allows developers to verify code that is compliant with the standard on embedded and host-native target platforms. Cantata automates test framework generation and execution to help accelerate compliance with dynamic testing requirements. Results diagnostics and report generation. Cantata integrates with a wide range of embedded development tools, including compilers and static analysis tools, to build and requirements management tools, and more. Cantata is easy to use thanks to the ECLIPSE®, tight tool integrations, and tests written in C/C++. SGS-TUV SAAR GmbH has independently certified Cantata for the main software safety standards. The standard Cantata tool certification kits come free of charge. They include everything you need out-of-the box and comprehensive guidance to help achieve certification for your device software.

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.

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.

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.

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.

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).

HUnit is a Haskell unit testing framework that was inspired by the JUnit Java tool. HUnit is easy to use if you are familiar enough with Haskell but not necessarily JUnit. Test-centered software development is more effective when tests are simple to create, modify, and execute. JUnit was the first tool to support test-first Java development. HUnit is a translation of JUnit to Haskell. This is a general-purpose, functional programming language. HUnit is similar to JUnit in that you can create tests, name them and group them into suites. The framework will automatically check the results. Because of the Haskell language, HUnit's test specification is more concise and flexible that JUnit. HUnit currently only has a text-based controller, but the framework can be easily extended. Run the tests in a group.

Run UI, performance, and unit tests on your Xcode project. You can use the XCTest framework for unit testing your Xcode projects. These tests integrate seamlessly into Xcode's test workflow. Tests verify that certain conditions are met during code execution and report failures (with optional messages), if they aren't. To validate user interaction flows, tests can interact with the UI of an application to measure code performance. A test method is a small and self-contained method that tests one part of your code. A test case is a collection of related test methods. To confirm that your code works as expected, add test cases and test method to a test target. This class is the primary one for testing, defining and executing test methods. A base class that can be used to create, manage, and execute tests.

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.

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.

NCover Desktop is a Windows program that allows you to collect code coverage statistics for.NET services and applications. Desktop displays coverage metrics and charts in a browser-based GUI. This allows you to drill down to individual lines of source code. Bolt, a Visual Studio extension, is also available in Desktop. Bolt provides code coverage with built-in timings, timings, and source code highlighting directly within Visual Studio IDE. NCover Desktop is a significant leap forward in code coverage tools flexibility and ease. The NCover user can track the code coverage while they test their.NET code and get a precise measurement of the unit test coverage. These statistics can be tracked over time to give you a concrete measure of code quality throughout the development cycle.

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.

Writing unit tests can be difficult and sometimes, good design must be sacrificed in order to ensure testability. Sometimes testability is synonymous with good design. However, this is not always true. Final classes and methods can't be used, private methods may need to be protected, or unnecessarily transferred to a collaborator. Static methods should be avoided entirely due to the limitations of existing frameworks. PowerMock is a framework which extends other mock libraries like EasyMock with greater capabilities. PowerMock employs a custom classloader, bytecode manipulation, and allows mocking of static methods and constructors. Private methods can also be used, as well as removal of static initializers. A custom classloader is not required to be modified to the IDE or continuous Integration Servers. This simplifies adoption.

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.

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.

The JCov open source project is used for gathering quality metrics related to the production of test suites. JCov will be open to allow the verification of regression tests being executed in OpenJDK. JCov's main purpose is transparency in test coverage metrics. OpenJDK developers will have the opportunity to use a code-coverage tool that is in 'lock step with Java language and VM development. This is why we promote standard coverage based JCov. JCov, a Java implementation of a code-coverage tool, provides a way to measure and analyze dynamic Java program code coverage. JCov allows you to see uncovered execution paths and method coverage. It can also show the source code of a program annotated with coverage information. JCov is most useful for testing to determine execution paths.

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.

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.

Develop healthier code. Improve code quality and workflow. Codecov offers a comprehensive suite of tools that allow you to group, merge and archive coverage reports, as well as compare them. Open source. Plans starting at $10/user per month. Ruby, Python and C++ as well as Javascript are all available. All CI products and workflows can be integrated easily. No setup is required. Automatic report merging for all CI languages and languages into one report. You can get custom statuses for any group of coverage metrics. You can review coverage reports by folder, project, and type (unit tests or integration tests). You can comment the detailed report directly in your pull request. Codecov is SOC 2 Type II Certified. This means that Codecov has been audited by a third party and attested to our security practices.

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.

This allows for parallel collaborative development to reduce rework, visualize, reduce conflict, and lower team risk. It also improves team velocity and throughput. It preserves the integrity of baseline configurations, simplifies rollback, recovery, streamlines approval, and keeps integrity when automating builds or deployments. It is much easier to identify issues early in the lifecycle. CM allows issues can be identified as soon a code commit is made via Pulse. All actions drive shift left: CI build, unit testing and code review. Integration with developer friendly repositories, IDEs (such git, IntelliJ Eclipse, Microsoft.net), detailed auditing, logging, immutable versioning, and history Reduces preparation time and effort for regulatory compliance and audits with a comprehensive audit trail and tamperproof history.

Appvance IQ (AIQ), delivers transformative productivity gains and lower costs for both test creation and execution. It offers both AI-driven (fully automated tests) and 3rd-generation codeless scripting for test creation. These scripts are then executed using data-driven functional and performance, app-pen, and API testing -- both for web and mobile apps. AIQ's self healing technology allows you to cover all code with only 10% of the effort required by traditional testing systems. AIQ detects important bugs automatically and with minimal effort. No programming, scripting, logs, or recording are required. AIQ can be easily integrated with your existing DevOps tools, processes, and tools.

WireMock simulates HTTP-based APIs. It can be used as a virtual service or mock server. It allows you to remain productive even if an API you depend upon isn't available or incomplete. It allows you to test edge cases and failure modes that an API doesn't reliably produce. It's also fast, which can reduce your build time by a few minutes to hours. MockLab is a hosted API simulation built on WireMock. It features an intuitive web interface, team collaboration, and requires no installation. The 100% compatible API allows drop-in replacement of WireMock servers with just one line of code You can run WireMock within your Java application, JUnit Test, Servlet container, or as a standalone operation. A wide range of strategies can be used to match request URLs, methods and headers cookies. First-class support for JSON or XML. Capture traffic to and from an API and get up and running quickly

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.

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.

Deep Cover is designed to provide the best coverage for Ruby code. You can get more precise line coverage and branch coverage. It can be used to replace the built-in Coverage Library. It provides a better picture of your code usage. A line is considered covered if it is executed completely. Optionally, branch coverage can detect if certain branches are not taken. MRI considers all methods defined, even those defined on objects, via define_method, class_eval and others. DeepCover covers all blocks and defs for Istanbul output. DeepCover does not consider loops to be branches but it is easy to support them if necessary. DeepCover needs to be configured and only a small amount of code is loaded. Coverage is not started even though coverage has been started. Deep-cover can be used to inject itself into existing Coverage libraries to make it easier for projects to transition.

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.

dbForge Unit Tests for SQL Server is a graphical user interface (GUI) tool, available as an add-in for SQL Server Management Studio (SSMS). Built on the tSQLt framework, it allows developers to write unit tests in T-SQL within the familiar SSMS interface. Key Features: - Isolated Unit Testing: Avoid affecting the actual database. - Simultaneous Testing: Perform multiple unit tests simultaneously. - DevOps Integration: Integrate unit tests into DevOps processes. - Command Line Execution: Run unit tests via the command line. - T-SQL-based: Write unit tests in T-SQL without additional tools. - tSQLt Framework Management: Easily install and uninstall the tSQLt framework for writing unit tests. - Example Collection: Access a collection of unit test examples for quick standard task performance. - Safe Refactoring: Ensure safe refactoring in large databases. The tool includes a Test List Manager, a tab within the SSMS interface meant for creating, editing, managing, and running unit tests. This integration allows teams to work entirely within SSMS, eliminating the need to learn and switch between different tools, thus fostering a more comfortable environment and efficient performance.

JUnit inspired the unittest unit testing framework. It has a similar flavor to major unit testing frameworks in other languages. It supports test automation, sharing setup and shutdown codes for tests, aggregation and isolation of the tests from the report framework. A test fixture is the preparation required to perform one or more of the tests and any cleanup actions. This could include creating directories or temporary databases, or initiating a server process. A test suite is a collection or combination of test cases and test suites. It is used to combine tests that should be executed together. A test runner is a component that orchestrates the execution and displays the results to the user. The runner can use a textual or graphical interface to display the results of the tests.

Embunit is a unit test tool for programmers and testers who are developing software in C++ or C++. Although it is intended for embedded software development, it can also be used to create unit test cases for any software written in C++ or C++. Embunit takes out the repetitive, mundane aspects of writing unit test code, allowing you to focus on the test behavior. This is done by specifying a sequence or actions, as shown in the screenshot below. Embunit automatically generates the source code for unit tests. Embunit was designed with flexibility in mind. It can be customized to create unit tests on any hardware platform, even microcontrollers. It is not tied down to any particular toolset and is designed for the common limitations of embedded C++ compilers.

Many parts of a software program work together to accomplish their tasks. We trust our collaborators and don't care about real collaborators in unit testing. Mock objects can replace the unit under test's collaborators. We need to simulate the collaborators in order to test the unit in isolation. A mock object is a replacement for a collaborator and is used to test the unit. It simulates the object it replaces in an easy way. A Mock Object, unlike a stub does not verify that it is being used as expected. EasyMock was the first dynamic Mock Object generator. It has helped users to either generate code or relieve them from hand-writing mock Objects. EasyMock generates Mock Objects on the fly by using the Java proxy mechanism.

Our platform intelligently understands and executes edge cases within the coding environment. This ensures that you receive flawless software quickly. UnitWise is at your fingertips, allowing you to deliver flawless software faster. Bye-bye to the tedious task of manually creating testcases and relying on prompts to generate test codes. UnitWise is your constant testing companion as you dive into coding. It provides real-time, pertinent test codes that streamline your development journey. Select the class you want to test, and generate test case within your IDE with a single click. View the failed test cases and fix the test in order to eliminate errors. Identifying code bugs will enhance software reliability while simultaneously correcting identified issues. We place a high priority on data security and ensure that the integrity and exclusivity are maintained.

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.

Confident AI is used by companies of all sizes to prove that their LLM is worth being in production. On a single, central platform, you can evaluate your LLM workflow. Deploy LLM with confidence to ensure substantial benefits, and address any weaknesses within your LLM implementation. Provide ground truths to serve as benchmarks for evaluating your LLM stack. Ensure alignment with predefined output expectation, while identifying areas that need immediate refinement and adjustments. Define ground facts to ensure that your LLM behaves as expected. Advanced diff tracking for iterating towards the optimal LLM stack. We guide you through the process of selecting the right knowledge bases, altering the prompt templates and selecting the best configurations for your use case. Comprehensive analytics to identify focus areas. Use out-of-the box observability to identify use cases that will bring the greatest ROI for your organization. Use metric insights to reduce LLM costs and delays over time.

Test and verify data management for IBM iSeries, IBM iSeries and AS/400. Complex IBM i applications need to be tested from top to bottom and into the data wherever it is. TestBench IBM I is a proven, comprehensive solution for test data management, verification, and unit testing that integrates with other solutions to ensure application quality. Stop copying all the data and focus on what you need. You can select or sample data that has been kept in full referential integrity. You can choose which fields should be protected and then use a variety obfuscation techniques to protect your data. Track every insert, update, and delete. You can create rules to ensure that data failures are automatically flagged. Avoid painful save/restores, and stop trying to explain bad test results that were based on poor data. Although it is a proven method of verifying your test results, comparing outputs can be tedious and prone to error. This unique solution can save you hours.

OneTest Embedded makes it easy to automate the creation and deployment component test harnesses. OneTest Embedded allows you to profile memory and performance, analyze code coverage, and visualize program execution behavior with just one click. OneTest Embedded also helps you be more proactive in debugging and assists in fixing any broken code. It allows for a virtual cycle to test generation and execution, as well as reviewing, reviewing, and testing improvement to quickly achieve full coverage. It takes just one click to build, execute on the target and generate reports. This helps to prevent program crashes and performance issues. It can also be modified to work with embedded software memory management methods. This provides insight on thread execution and switching, which allows for a deeper understanding of the behavior of the system being tested.

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.

AgitarOne's product family allows you to work smarter, safer, and better when developing and maintaining Java applications. AgitarOne JUnit Generator generates comprehensive JUnit tests for your code. This allows you to find and fix any errors and makes it easier and safer to improve your code in order to lower its maintenance costs. AgitarOne Agitator allows developers to understand the behavior of their code while they are writing it. This helps you avoid bugs and code complexity that could lead to future maintenance headaches. The AgitarOne family offers the best way to create, manage, and use unit tests to enable you to be truly agile. Automated JUnit Generating: You can automate the generation and maintenance of JUnit tests before you begin working with existing code. Automate the generation and testing of JUnit tests before you begin working with existing code.

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.

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.

Puppeteer can do most of the things you can do in the browser. Puppeteer core is a lightweight version Puppeteer that can be used to launch an existing browser or to connect to a remote one. Make sure the puppeteer-core version you install is compatible to the browser you want to connect to. People who have used other browser testing frameworks will be familiar with Puppeteer. You create a Browser instance, open pages, then use Puppeteer's API to manipulate them. Puppeteer automatically downloads and uses a particular version of Chromium to ensure that its API works right out of the box. When creating a Browser instance, pass the executable's path to Puppeteer.