Alternatives to HCL OneTest Embedded
Compare HCL OneTest Embedded alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to HCL OneTest Embedded in 2026. Compare features, ratings, user reviews, pricing, and more from HCL OneTest Embedded competitors and alternatives in order to make an informed decision for your business.
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MuukTest
MuukTest
Are bugs slipping through your QA process and frustrating your customers? Catching issues early shouldn’t mean overwhelming your team with time-consuming tests. With MuukTest’s AI-driven platform, growing engineering teams reach 95% end-to-end test coverage in just 3 months, delivering quality at speed. By leveraging AI, our QA experts rapidly design, manage, and maintain comprehensive E2E tests for web, mobile, and API applications on the MuukTest platform. Within 8 weeks, we deliver full regression coverage, followed by exploratory and negative testing to uncover hidden bugs and expand test scenarios. We also proactively identify and address flaky tests and false results to ensure the reliability of your tests. Testing early and often allows you to detect bugs in the early stages of your development lifecycle, reducing the burden of technical debt down the line. -
2
Boozang
Boozang
Build. Test. Automate. Empower your whole team to build and maintain automated tests, not just developers. Meet your testing demands fast. Get full test coverage in days, not months. Our natural-language tests are extremely stable to code changes. When tests break our AI will repair it in minutes. Go Agile/DevOps by setting up Continuous Testing. Push features in production the same day. Boozang supports the following test approaches: - Codeless Record/Replay interface - BDD / Cucumber - API testing - Model-based testing - HTML Canvas testing The following features makes your testing a breeze - In-browser console debugging - Screenshots to show where test fails - Integrate to any CI server - Test with unlimited parallel workers to speed up tests - Root-cause analysis reports - Trend reports to track failures and performance over time - Test management integration (Xray / Jira) -
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Parasoft
Parasoft
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. -
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Sahi Pro
Tyto Software Pvt Ltd
Sahi Pro is a no-code test automation tool for web, desktop, mobile, and SAP applications. Sahi Pro empowers business testers and automation engineers to streamline their test automation processes. Sahi Pro reduces the time, effort, and complexity involved in test automation, making it an ideal choice for various domains including automobile, healthcare and BFSI. Features: 1. Non-flaky Test Execution - For reliable test results and reduced time wastage in analysis of false-positives or false-negatives. 2. Supports Multiple Technologies - Achieve end to end automation across technologies. 3. No-code Automation - Enable non-technical business testers to automate. 4. Integrations - Integrate and work with your existing ecosystem. Testers using Sahi Pro easily automate complex tests without writing code. With Sahi Pro, you can achieve faster release cycles, improved software quality, & reduced costs. Our customers love Sahi Pro for its speed, flexibility, and ease of use.Starting Price: $1499/year/user -
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Testsigma
Testsigma
Testsigma is a low-code end-to-end software testing platform that works out of the box. It's built to enable modern Product teams to collaboratively plan, develop, execute, analyze, debug, and report on their automated testing—for websites, native Android and iOS apps, and APIs. Testsigma test scripts are code-agnostic. While the platform itself is built with Java, you can write test scripts in simple English or use the Test Recorder to generate airtight test scripts for websites and native mobile apps. You can also use the test recorder on your own device farm/grid or on Testsigma's built-in device lab on the cloud. The platform has built-in visual testing, parametrized or data-driven testing, 2FA testing, and more advanced features for easy test automation. Our AI automatically fixes unstable elements and test steps, identifies and isolates regression-affected scripts, and provides suggestions to help you find and fix test failures. -
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VectorCAST
VECTOR Informatik
VectorCAST is a comprehensive test-automation suite designed to streamline unit, integration, and system testing across the embedded software development lifecycle. It automates test case generation and execution for C, C++, and Ada applications, supports host, target, and continuous-integration environments, and offers structural code coverage metrics to help validate safety- and mission-critical systems. It integrates with simulation workflows such as software-in-the-loop and processor-in-the-loop, links to model-based engineering tools like Simulink/Embedded Coder, supports white-box testing features like dynamic instrumentation, fault injection, and test harness generation, and can combine static-analysis results (e.g., from Polyspace) with dynamic test coverage for full-lifecycle verification. Key capabilities include linking requirements to tests, managing and reporting coverage across configurations. -
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Appvance
Appvance.ai
Appvance IQ (AIQ) delivers transformational productivity gains and lower costs in both test creation and execution. For test creation, it offers both AI-driven (fully machine-generated tests) and also 3rd-generation, codeless scripting. It then executes those scripts through data-driven functional, performance, app-pen and API testing — for both web and mobile apps. AIQ’s self-healing technology gives you complete code coverage with just 10% the effort of traditional testing systems. Most importantly, AIQ finds important bugs autonomously, with little effort. No coding, scripting, logs or recording required. AIQ is easy to integrate with your current DevOps tools and processes. Appvance IQ was developed by a pioneering team who envisioned a better way to test. Their innovative vision has been made possible by applying differentiated, patented AI methods to test creation while leveraging today’s high-availability compute resources for massive levels of parallel execution. -
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Embunit
Embunit
Embunit is a unit testing tool for programmers and testers developing software in C or C++. It is aimed at embedded software development, but can be used to create unit tests for any software written in C or C++. Embunit eliminates the mundane, repetitive aspects of writing unit tests, leaving you free to concentrate on defining the test behaviour. This is achieved by specifying a sequence of actions as shown in the example screenshot below. Embunit generates the unit test source code automatically. Embunit has been developed with flexibility in mind, and can be customised to create unit tests for virtually any hardware platform; even the smallest microcontrollers. It is not tied to any specific toolset and is designed to accommodate the common limitations of embedded C++ compilers.Starting Price: $131.19 per user -
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NCrunch
NCrunch
NCrunch tracks your code coverage in real-time, showing this in markers next to your code. This makes it easy to track where your coverage is heavy or light. NCrunch was designed with big complex projects in mind. We've spent the last 12 years optimising and scaling the NCrunch system to meet the needs of real-world systems consisting of millions of lines of code and many thousands of tests. NCrunch tracks all sorts of test related data, and it uses it to give you the most important feedback as fast as possible. Tests that you have recently impacted with your code changes are prioritised for execution using sophisticated and high performance IL-based change mapping. NCrunch can offload build and test work to other computers for processing. Farm tasks out to connected machines or scale into the cloud. Processing resources can be shared between developers allowing teams to pool their testing resources.Starting Price: $159 per year -
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JCov
OpenJDK
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.Starting Price: Free -
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dotCover
JetBrains
dotCover is a .NET unit testing and code coverage tool that works right in Visual Studio and in JetBrains Rider, helps you know to what extent your code is covered with unit tests, provides great ways to visualize code coverage, and is Continuous Integration ready. dotCover calculates and reports statement-level code coverage in applications targeting .NET Framework, .NET Core, Mono for Unity, etc. dotCover is a plug-in to Visual Studio and JetBrains Rider, giving you the advantage of analyzing and visualizing code coverage without leaving the code editor. This includes running unit tests and analyzing coverage results right in the IDEs, as well as support for different color themes, new icons and menus. dotCover comes bundled with a unit test runner that it shares with another JetBrains tool for .NET developers, ReSharper. dotCover supports continuous testing, a modern unit testing workflow whereby dotCover figures out on-the-fly which unit tests are affected by your code changes.Starting Price: $399 per user per year -
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Testwell CTC++
Testwell
Testwell CTC++ is a powerful instrumentation-based code coverage and dynamic analysis tool for C and C++ code. With certain add-on components CTC++ can be used also on C#, Java and Objective-C code. Further, again with certain add-on components, CTC++ can be used to analyse code basically at any embedded target machines, also in very small ones (limited memory, no operating system). CTC++ provides Line Coverage, Statement Coverage, Function Coverage, Decision Coverage, Multicondition Coverage, Modified Condition/Decision Coverage (MC/DC), Condition Coverage. As a dynamic analysis tool, CTC++ shows the execution counters (how many times executed) in the code, i.e. more than a plain executed/not executed information. You can also use CTC++ to measure function execution costs (normally time) and to enable function entry/exit tracing at test time. CTC++ is easy to use.Starting Price: Free -
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Coverage.py
Coverage.py
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.Starting Price: Free -
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Typemock
Typemock
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.Starting Price: $479 per license per year -
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Early
EarlyAI
Early is an AI-driven tool designed to automate the generation and maintenance of unit tests, enhancing code quality and accelerating development processes. By integrating with Visual Studio Code (VSCode), Early enables developers to produce verified and validated unit tests directly from their codebase, covering a wide range of scenarios, including happy paths and edge cases. This approach not only increases code coverage but also helps identify potential issues early in the development cycle. Early supports TypeScript, JavaScript, and Python languages, and is compatible with testing frameworks such as Jest and Mocha. The tool offers a seamless experience by allowing users to quickly access and refine generated tests to meet specific requirements. By automating the testing process, Early aims to reduce the impact of bugs, prevent code regressions, and boost development velocity, ultimately leading to the release of higher-quality software products.Starting Price: $19 per month -
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OpenCppCoverage
OpenCppCoverage
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.Starting Price: Free -
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BMC Compuware Xpediter
BMC Software
BMC Compuware Xpediter is a family of debuggers and interactive analysis tools for COBOL, Assembler, PL/I, and C programs that helps developers quickly understand applications, make changes, and fix problems in a secure environment—even if they’re unfamiliar with the source code. Xpediter enables developers to get into an interactive test session with minimal effort and quickly move applications into production with greater confidence. See line-by-line code execution and control all aspects of program execution and data. Use Code Coverage to see proof of execution and view metrics on multi-platform applications. Access Abend-AID diagnostic capabilities from within a debugging session. See a graphical view of source code through an integration with Topaz for Program Analysis. Leverage Topaz for Total Test for building a comprehensive portfolio of automated virtualized test cases. Intercept and debug mainframe transactions initiated remotely. -
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RKTracer
RKVALIDATE
RKTracer is a code-coverage and test-analysis tool that enables teams to assess the quality and completeness of their testing across unit, integration, functional, and system-level testing, without altering a single line of application code or build workflow. It supports instrumentation across host machines, simulators, emulators, embedded devices, and servers, and covers a broad array of programming languages, including C, C++, CUDA, C#, Java, Kotlin, JavaScript/TypeScript, Golang, Python, and Swift. It provides detailed coverage metrics such as function, statement, branch/decision, condition, MC/DC, and multi-condition coverage, and even supports delta-coverage reports to show which newly added or modified portions of code are already covered. Integration is seamless; simply prefix your build or test command with “rktracer”, run your tests, then generate HTML or XML reports (for CI/CD systems or dashboards like SonarQube). -
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Embedded Tester
Xebrium
XEB360 is an embedded test automation framework designed for the stress testing of hardware & software algorithms. It is a generic automated testing multi-user framework comprising of hardware and software which allows the generation and monitoring of signals and patterns. The product encompasses distinguished software and hardware components that can help in creating, automatically executing, and evaluating various test cases. A very common challenge in the development and testing of embedded products is to create a real-world environment of signals and patterns to test the product in a repeatable and trackable way thoroughly. XEB360 addresses this problem by generating and monitoring signals and patterns supported by a sophisticated test harness that quantifies the quality assurance coverage. XEB360 offers a comprehensive set of historical data for all testing activities. It helps in the product engineering efforts of the teams by substantially focusing on quality processes. -
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LDRA Tool Suite
LDRA
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. -
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Rapita Verification Suite
Rapita Verification
Rapita Verification Suite (RVS) is a comprehensive, on-target software verification toolsuite used to test, analyze, and produce certification evidence for critical embedded systems, helping developers ensure safety and reliability to meet standards like DO-178C and ISO 26262. It combines static and dynamic analysis techniques to run requirements-based functional tests, measure structural code coverage (including MC/DC), analyze execution and worst-case timing behavior directly on target hardware, and visualize task-level scheduling, giving developers deep insight into performance and behavior under real conditions. RVS integrates with existing build systems, embedded targets, and third-party tools with low instrumentation overhead, supports multicore timing analysis, and offers qualification kits and services to streamline certification processes for aviation and automotive projects.Starting Price: Contact us -
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OpenClover
OpenClover
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.Starting Price: Free -
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Mayhem
ForAllSecure
Advanced fuzzing solution that combines guided fuzzing with symbolic execution, a patented technology from CMU. Mayhem is an advanced fuzz testing solution that dramatically reduces manual testing efforts with autonomous defect detection and validation. Deliver safe, secure, reliable software with less time, cost, and effort. Mayhem’s unique advantage is in its ability to acquire intelligence of its targets over time. As Mayhem’s knowledge grows, it deepens its analysis and maximizes its code coverage. All reported vulnerabilities are exploitable, confirmed risks. Mayhem guides remediation efforts with in-depth system level information, such as backtraces, memory logs, and register state, expediting issue diagnosis and fixes. Mayhem utilizes target feedback to custom generate test cases on the fly -- meaning no manual test case generation required. Mayhem offers access to all of its test cases to make regression testing effortless and continuous. -
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Parasoft dotTEST
Parasoft
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. -
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MATLAB
The MathWorks
MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design. -
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Coco Code Coverage
Qt Group
Coco by Qt is an end-to-end code coverage and test analysis tool built for teams developing desktop, embedded, and safety-critical software. It supports multiple languages—including C, C++, C#, QML, and Tcl—and provides detailed insight into code coverage across unit, integration, and system testing. Coco helps engineering and QA teams identify untested paths, redundant test cases, and hidden logic branches to improve software reliability and performance. Designed for compliance-driven industries, it generates audit-ready reports aligned with international standards like ISO 26262, DO-178C, and IEC 62304. Seamlessly integrating with CI/CD pipelines and IDEs such as Visual Studio, Eclipse, and Qt Creator, Coco streamlines test validation across toolchains and environments. With precision, automation, and compliance at its core, Coco enables faster releases without compromising quality or safety. -
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TimeMachine
Green Hills Software
The TimeMachine debugging suite extends the range of Green Hills Software’s popular MULTI integrated development environment (IDE) by providing a window into the complex interactions in software that can result in bugs, performance problems, and testing nightmares. By presenting this information in easy-to-understand displays, TimeMachine enables developers to quickly navigate through trace data and produce better code in less time. With TimeMachine you can debug both forward and backward in time, making it easier to find even the hardest time. Make your software run faster than you thought possible by examining program execution history to find previously unknown bottlenecks. Accelerate debugging by stepping backward a single step at a time into functions you've already stepped over. Leverage gigabytes of execution history to verify that your program has been fully tested. -
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Code Intelligence
Code Intelligence
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. -
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Jtest
Parasoft
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. -
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PyCharm
JetBrains
All the Python tools in one place. Save time while PyCharm takes care of the routine. Focus on the bigger things and embrace the keyboard-centric approach to get the most of PyCharm's many productivity features. PyCharm knows everything about your code. Rely on it for intelligent code completion, on-the-fly error checking and quick-fixes, easy project navigation, and much more. Write neat and maintainable code while the IDE helps you keep control of the quality with PEP8 checks, testing assistance, smart refactorings, and a host of inspections. PyCharm is designed by programmers, for programmers, to provide all the tools you need for productive Python development. PyCharm provides smart code completion, code inspections, on-the-fly error highlighting and quick-fixes, along with automated code refactorings and rich navigation capabilities.Starting Price: $199 per user per year -
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Digital.ai Continuous Testing
Digital.ai
Test the new functionality of your mobile application by interacting with physical mobile devices in real-time from your browser. Create & execute hundreds of manual or automated tests in parallel on 1,000+ real IOS & Android devices in the cloud. Create Appium tests with ease directly from your IDE and enjoy real-time interaction and live debugging. Access visual test reports and advanced analytics. Automate your cross-browser testing by running Selenium tests on 1,000+ browser types, versions, and operating systems. Interact with your app in real-time and debug it. Perform visual testing to verify UI responsiveness across different resolutions. Intuitively develop new Appium tests or execute existing projects using Appium Studio. Easily test on iOS devices using a Windows machine, and enjoy advanced testing capabilities. Digital.ai Continuous Testing enables enterprises to test at scale, increase test coverage, and make data-driven decisions to deliver high-quality apps.Starting Price: $49 per month -
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µVision IDE
Arm
The µVision IDE combines project management, run-time environment, build facilities, source code editing, and program debugging in a single powerful environment. µVision is easy-to-use and accelerates your embedded software development. µVision supports multiple screens and allows you to create individual window layouts anywhere on the visual surface. The µVision Debugger provides a single environment in which you may test, verify, and optimize your application code. The debugger includes traditional features like simple and complex breakpoints, watch windows, and execution control and provides full visibility to device peripherals. With the µVision Project Manager and Run-Time Environment you create software application using pre-build software components and device support from Software Packs. The software components contain libraries, source modules, configuration files, source code templates, and documentation. -
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Coverlet
Coverlet
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.Starting Price: Free -
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Perfecto
Perforce
Perfecto Is the Leading Testing Platform for Web & Mobile Apps. We believe your apps should perform no matter what. With Perfecto’s cloud-based solution, you can boost test coverage for fewer escaped defects while accelerating testing. From creation to execution and analysis, Perfecto has a proven, unified solution for your web and mobile testing needs. Test in your CI instead of the end of the cycle, and identify real failures quickly with false-negative filtering. Align platform and scenario test coverage with your actual users. Test failure analysis provides real test failure reasons. Heatmaps, test reports, and CI dashboards give you fast feedback. Get the most comprehensive rich test artifacts on the market, like crash logs, screenshots, and HAR files. Get visual validation for a side-by-side comparison across platforms. Eliminate bug reproduction time. Fix defects from your IDE. Integrate fully with Jira for full test management.Starting Price: $99.00/month -
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OpenText Functional Test Automation
OpenText
Functional test automation for web, mobile, rich-client, and enterprise applications. Collaborative test design enables business and technical stakeholders to work together to ensure a full range of test coverage. Ensure quality and accelerate testing on any device and platform, across web, mobile, rich-client, and enterprise apps. Leverage existing Selenium scripts and record additional steps in Silk Test for desktop and mobile browsers. Integrate functional testing into the CI/CD pipeline with parallel and dockerized testing to provide prompt feedback on daily check-ins. Conduct cross-platform testing and create a single test script to test against IE, Edge, Firefox, Chrome, Safari, and mobile browsers. Create realistic simulations of service behavior while saving time and effort with embedded back-end service virtualization. Collaborative test design enables business and technical stakeholders to work together to ensure test coverage for a full range of customer usage patterns. -
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Cantata
QA Systems
Cantata is a unit and integration testing tool, enabling developers to verify standard compliant or business critical code on host native and embedded target platforms. Cantata helps accelerate compliance with the standard’s dynamic testing requirements by automating test framework generation, test execution. results diagnostics and report generation. Cantata is integrated with an extensive set of embedded development toolchains, from compilers and static analysis tools to build and requirements management tools. The ECLIPSE® GUI, tight tool integrations and tests written in the source C/C++ code, all make Cantata easy to use. Cantata has been independently certified by SGS-TÜV SAAR GmbH for the main software safety standards. Standard specific Cantata tool certification kits are provided free of charge and contain everything needed out-of-the-box as well as comprehensive guidance to help you achieve certification for your device software. -
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PCOV
PCOV
A self-contained CodeCoverage compatible driver for PHP. When PCOV is left unset, PCOV will attempt to find src, lib or, app in the current working directory, in that order; If none are found the current directory will be used, which may waste resources storing coverage information for the test suite. If PCOV contains test code, it's recommended to set the exclude command to avoid wasting resources. To avoid unnecessary allocation of additional arenas for traces and control flow graphs, PCOV should be set according to the memory required by the test suite. To avoid reallocation of tables, PCOV should be set to a number higher than the number of files that will be loaded during testing, inclusive of test files. interoperability with Xdebug is not possible. At an internal level, the executor function is overridden by PCOV, so any extension or SAPI which does the same will be broken. PCOV is zero cost, code runs at full speed.Starting Price: Free -
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DoubleCheck Code Analysis
Green Hills Software
When it comes to ensuring software quality, reliability, and security in today's sophisticated code bases, traditional debugging and testing methods simply fall short. Automated tools such as static source code analyzers are more effective in finding defects that could result in buffer overflows, resource leaks, and other security and reliability issues. This class of defects are often not detected by compilers during standard builds, run-time testing, or typical field operation. While other source code analyzers run as separate tools, DoubleCheck is an integrated static analyzer, built into the Green Hills C/C++ compiler. DoubleCheck leverages accurate and efficient analysis algorithms that have been tuned and field-proven in 30+ years of producing embedded development tools. DoubleCheck can be used as a single integrated tool to perform compilation and defect analysis in the same pass. -
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NCover
NCover
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.Starting Price: Free -
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Perforce ALM
Perforce
A good ALM tool helps the application lifecycle management of your product. The best ALM tools give you end-to-end traceability across your lifecycle. That’s why development teams across industries choose Perforce ALM (Helix ALM). Perforce ALM is a modular suite of ALM tools. You can use this application lifecycle management suite to trace requirements, tests, and issues. Perforce ALM is the best ALM software for application lifecycle management across the entire lifecycle. Together, this suite of ALM software delivers unparalleled traceability. That means you’ll know if requirements have been tested and met, if test runs have passed (or failed), and if issues have been resolved. Plus, if a requirement changes, you’ll know which test cases and issues will be impacted. Perforce ALM makes it easy to create requirements and share requirements documents. You can do requirements reviews and get approvals — all within the software. Plus, you can even reuse requirements across projects. -
41
dSPACE
dSPACE
dSPACE is a virtual validation solution that lets engineers simulate, test, and validate embedded software systems early and efficiently in a purely virtual environment before physical hardware exists, dramatically accelerating development cycles and reducing time-to-market. With the dSPACE SIL solution, you can generate or import your system under test code, connect it with plant, environment, and restbus models, and execute comprehensive tests on a PC or in cloud-based simulation, enabling scalable, automated validation across individual software units, ECU integration, complete system functions, and complex network interactions without requiring real hardware. It supports seamless reuse of test artifacts and scenarios between SIL and HIL environments, offers an open architecture that integrates with third-party tools, and includes capabilities for planning, executing, and automating test campaigns. -
42
OpenText Functional Testing for Developers is an automated shift-left testing solution that enables developers to perform functional testing early in the software development lifecycle. It supports multiple standard programming languages like C#, Java, and JavaScript, allowing testers to use familiar IDEs such as Eclipse, Visual Studio, and IntelliJ. The platform integrates seamlessly with popular CI/CD tools, including Jenkins, and supports running tests in Docker containers. AI-powered object detection enhances test robustness and reduces maintenance by simplifying object recognition. Features like parallel and distributed test execution speed up testing and improve code quality. The solution also provides rich, interactive reporting to help developers analyze and debug efficiently.
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43
CodeRush
DevExpress
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.Starting Price: $49.99 one time payment -
44
Tricentis SeaLights
Tricentis
Tricentis SeaLights is a next-generation quality intelligence platform built to help enterprise teams release high-quality software faster. It uses change impact analysis to block untested code from reaching production. SeaLights automatically selects and executes only the tests affected by code changes. This approach dramatically reduces testing cycles while improving confidence in release decisions. The platform supports all test types, including unit, regression, API, system, and end-to-end tests. It works with both automated and manual testing workflows. By providing clear visibility into test coverage, SeaLights helps teams improve software quality without slowing delivery. -
45
PHPUnit
PHPUnit
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.Starting Price: Free -
46
pytest-cov
Python
This plugin produces coverage reports. Compared to just using coverage run this plugin does some extras. Subprocess support, so you can fork or run stuff in a subprocess and will get covered without any fuss. Xdist support, so you can use all of pytest-xdist’s features and still get coverage. Consistent pytest behavior. All features offered by the coverage package should work, either through pytest-cov’s command line options or through coverage’s config file. Under certain scenarios, a stray .pth file may be left around in site packages. The data file is erased at the beginning of testing to ensure clean data for each test run. If you need to combine the coverage of several test runs you can use the --cov-append option to append this coverage data to coverage data from previous test runs. The data file is left at the end of testing so that it is possible to use normal coverage tools to examine it.Starting Price: Free -
47
test_coverage
pub.dev
A simple command-line tool to collect test coverage information from Dart VM tests. It is useful if you need to generate coverage reports locally during development.Starting Price: Free -
48
UndercoverCI
UndercoverCI
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.Starting Price: $49 per month -
49
mabl
mabl
Mabl is an intelligent, low-code test automation platform. Built for Agile teams, mabl is a SaaS solution that tightly integrates automated end-to-end testing into the entire development lifecycle. Mabl’s native auto-heal capability evolves tests as the application UI evolves with development; and the comprehensive test results help users quickly and easily resolve bugs before they reach production. Creating, executing, and maintaining reliable tests has never been easier. Mabl enables software teams to increase test coverage, speed up development and improve application quality - empowering everyone on the team with the ability to ensure the quality of the applications at every stage. -
50
Devel::Cover
metacpan
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.Starting Price: Free
