Results for: test coverage

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Test Coverage Software
Test coverage tools are software utilities that help measure the extent to which a codebase is tested by evaluating which lines, functions, or branches are executed during testing. They provide insights into untested portions of the code, allowing developers to identify gaps and improve the quality of their test suite.
Code Coverage Tools
Code coverage tools are software utilities designed to analyze the source code of an application and report on the level of code that is tested by automated tests. They usually measure the percentage of lines, blocks, or branches of code that have been executed in a test suite. Many popular programming languages have their own code coverage tools available for developers to use.
Penetration Testing Tools
Penetration testing software tools enable security professionals to test applications and IT systems to identify vulnerabilities. Penetration testing tools, sometimes known as "pen testing" tools, can simulate a hack or attack in order to test the security of a given application or system.
Software Testing Tools
Software testing tools help developers and QA teams assess the functionality, performance, and security of applications by automating and streamlining the testing process. These tools offer various testing methods, such as unit testing, integration testing, and load testing, to identify bugs, vulnerabilities, and other issues before deployment. They often include features like test case management, real-time reporting, and bug tracking to enhance collaboration and ensure thorough testing coverage. By automating repetitive testing tasks, software testing tools improve efficiency, reduce human error, and speed up the development lifecycle. Ultimately, these tools ensure that software is reliable, secure, and meets quality standards before it is released to users.
Performance Testing Software
Performance testing software is software designed to evaluate the speed, responsiveness, and stability of applications under various conditions. It simulates multiple users or workloads to assess how well the software performs under stress, heavy usage, or high traffic. This type of software helps identify bottlenecks, resource limitations, and areas for optimization before the application is released to end-users. It provides detailed reports on metrics such as load times, throughput, and error rates to guide developers in improving application performance. By using performance testing software, businesses can ensure their applications deliver a smooth and reliable experience even during peak usage.
Automated Testing Software
Automated testing software is a type of software tool that is used to test the functionality of other software applications or products. It is typically used to verify that the software works as expected and to identify any bugs or issues that need to be addressed. Automated testing software typically includes a set of scripts that are executed by the program, and results are reported back to the user. This type of testing can be an efficient way to ensure that a software product meets its requirements.
Unit Testing Software
Unit testing software is a type of software tool and/or framework that enables developers and programmers to test small and individual source code units in order to ensure that each unit of the source code functions as it should.
Usability Testing Software
Usability testing software enables product designers and teams to test the usability of a website, web application, or mobile app. Usability testing tools streamline the process of user testing.
Email Testing Tools
Email testing tools help marketers and developers preview, test, and optimize email campaigns to ensure they display correctly across various email clients, devices, and browsers. They check for rendering issues, broken links, spam score, load times, and accessibility compliance before sending emails to recipients. These tools often provide inbox previews, A/B testing features, and analytics to improve deliverability and engagement rates. By automating quality checks and identifying potential problems early, email testing tools enhance campaign effectiveness and reduce errors. They are essential for businesses aiming to maximize the impact of their email marketing efforts.
AB Testing Software
A/B testing software allows businesses to compare two or more versions of a webpage, app, or marketing campaign to determine which performs better based on user behavior and key metrics. It enables marketers and product teams to run controlled experiments by splitting traffic between variants and collecting data on conversions, engagement, and other goals. The software often includes tools for test setup, audience segmentation, real-time analytics, and statistical significance calculation. Many platforms integrate with analytics and marketing tools to help optimize user experiences and drive data-driven decisions. By leveraging A/B testing software, organizations can improve conversion rates, reduce bounce rates, and enhance overall customer satisfaction.
Load Testing Tools
Load testing tools are used to test and verify the quality and performance of an application under workload in order to get rid of problems.
Functional Testing Tools
Functional testing tools are software platforms designed to verify that a system or application performs as expected according to its functional requirements. These tools automate the process of testing individual features and functionalities of an application to ensure they work correctly. Functional testing tools typically support a variety of testing types, including unit testing, integration testing, and user acceptance testing (UAT). They allow testers to simulate user interactions with the application, execute test cases, and identify bugs or issues in the functional behavior of the software. By automating repetitive testing tasks and improving accuracy, functional testing tools help accelerate the software development lifecycle and ensure high-quality releases.
Test Management Tools
Test management tools help organizations plan, track, and organize software testing processes to ensure that applications meet the desired quality standards. These platforms typically include features for creating and managing test cases, tracking defects, and automating test execution. Test management tools also provide reporting and analytics capabilities, allowing teams to monitor test progress, identify bottlenecks, and improve testing efficiency. By using these tools, teams can streamline the testing process, ensure comprehensive test coverage, and improve collaboration among development and quality assurance (QA) teams.
API Testing Tools
API testing software is used to test and validate the functionality, performance, security, and reliability of Application Programming Interfaces (APIs). These tools help ensure that APIs perform as expected under various conditions and meet the required business and technical requirements. Features typically include automated testing, request/response validation, load testing, security testing (e.g., for vulnerabilities and authentication), and performance testing. API testing software often supports integration with continuous integration/continuous deployment (CI/CD) pipelines to facilitate automated testing as part of the software development lifecycle.
Speed Test Websites
Speed test websites and speed test apps are tools that enable individuals or IT professionals to test the speed of an internet connection on any device. Speed tests can measure upload speed, download speed, ping, latency, jitter, and more. Speed test websites can be used to test the internet speed of a WiFi or ethernet connection from a web browser on a desktop or laptop, while speed test apps can be downloaded natively to smartphones so that the wireless connection can be tested from the mobile device.
Mobile App Testing Tools
Mobile app testing tools are software solutions designed to help developers and quality assurance teams ensure that mobile applications perform as expected across different devices, platforms, and network conditions. These tools provide functionality for testing app performance, user interfaces (UI), compatibility, security, and usability. They often include features like automated testing, performance monitoring, bug tracking, and support for both iOS and Android apps. Mobile app testing tools help identify issues before an app is released to ensure it provides a smooth user experience and meets quality standards.
Test Automation Frameworks
Test automation frameworks are sets of tools, components, and practices that automate the process of testing software applications. These frameworks enable testers to write, execute, and manage test scripts for various types of software testing, including functional, regression, load, and performance testing. They often provide features such as reusable test scripts, integration with continuous integration/continuous deployment (CI/CD) tools, reporting, and test result tracking. Test automation frameworks help improve test efficiency, reduce manual errors, and speed up the overall testing process, especially in large and complex software environments.
Test Data Management Tools
Test data management tools enable IT professionals and developers to create non-production test data that simulates real company data in order to reliably test applications and systems with data that's similar to production data.
Web Accessibility Testing Tools
Web accessibility testing tools are designed to evaluate websites and applications for compliance with accessibility standards such as WCAG, Section 508, and ADA. They scan and analyze elements like color contrast, keyboard navigation, semantic structure, and screen reader compatibility to ensure digital content is usable by people with disabilities. Many tools provide automated reports, recommendations, and simulations of accessibility barriers to guide developers in fixing issues. They are used by web designers, developers, and compliance teams to create inclusive digital experiences and reduce legal or reputational risks. By integrating into workflows, these tools help organizations continuously monitor, test, and improve accessibility across web properties.
Pre-employment Testing Software
Pre-employment testing software helps organizations evaluate job candidates through objective assessments before hiring. It typically includes tools for skills testing, personality assessments, cognitive ability evaluations, and role-specific challenges. This software automates the screening process, providing data-driven insights to identify the best candidates efficiently. It enhances hiring accuracy, reduces bias, and saves time by filtering out unqualified applicants early. Companies use pre-employment testing software to improve the quality of hires and create a fairer, more effective recruitment process.
View more categories (20) for "test coverage"

237 Products for "test coverage"

  • 1
    QA Wolf

    QA Wolf

    QA Wolf

    Whether you're shipping web or mobile apps, QA Wolf has you covered. We build automated end-to-end tests for 80% of your user flows in weeks, maintain them 24 hours a day, and provide unlimited parallel test runs on our infrastructure. Did we mention that we guarantee zero flakes? We do that too. Here's a helpful list of everything you get out of the box — whether it's 100 tests or 100,000. • End-to-end tests for 80% of user flows automated in weeks, not years • Tests are written in...
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  • 2
    MuukTest

    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. ...
    Starting Price: $6000 per month
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  • 3
    Parasoft

    Parasoft

    Parasoft

    ...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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    Starting Price: $35/user/mo
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  • 4
    Boozang

    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.
    Starting Price: $249 USD / month / user
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  • 5
    Coco Code Coverage
    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. ...
  • 6
    Coverage.py

    Coverage.py

    Coverage.py

    ...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. ...
    Starting Price: Free
  • 7
    test_coverage
    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
  • 8
    Slather

    Slather

    Slather

    Generate test coverage reports for Xcode projects & hook it into CI. Enable test coverage by ticking the "Gather coverage data" checkbox when editing a scheme.
    Starting Price: Free
  • 9
    JCov

    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. ...
    Starting Price: Free
  • 10
    OpenCppCoverage

    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.
    Starting Price: Free
  • 11
    pytest-cov
    ...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
  • 12
    dotCover

    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. ...
    Starting Price: $399 per user per year
  • 13
    BullseyeCoverage

    BullseyeCoverage

    Bullseye Testing Technology

    ...Use this metric to broadly raise coverage across all areas of your project. Condition/decision coverage provides detail at the control structure level. Use this metric to attain high coverage in specific areas, for example during unit testing. C/D coverage provides better detail than statement coverage or branch coverage, and provides much better productivity than more complex coverage metrics.
    Starting Price: $900 one-time payment
  • 14
    NCover

    NCover

    NCover

    ...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
  • 15
    Coverlet

    Coverlet

    Coverlet

    ...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
  • 16
    OpenClover

    OpenClover

    OpenClover

    ...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
  • 17
    RKTracer

    RKTracer

    RKVALIDATE

    ...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).
  • 18
    UndercoverCI

    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.
    Starting Price: $49 per month
  • 19
    blanket.js

    blanket.js

    Blanket.js

    A seamless JavaScript code coverage library. Blanket.js is a code coverage tool for JavaScript that aims to be easy to install, easy to use, and easy to understand. Blanket.js can be run seamlessly or can be customized for your needs. JavaScript code coverage compliments your existing JavaScript tests by adding code coverage statistics (which lines of your source code are covered by your tests).
    Starting Price: Free
  • 20
    Devel::Cover
    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. ...
    Starting Price: Free
  • 21
    VectorCAST

    VectorCAST

    VECTOR Informatik

    ...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.
  • 22
    Cobertura

    Cobertura

    Cobertura

    Cobertura is a free Java tool that calculates the percentage of code accessed by tests. It can be used to identify which parts of your Java program are lacking test coverage. It is based on jcoverage. Cobertura is free software. Most of it is licensed under the GNU GPL, and you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. ...
    Starting Price: Free
  • 23
    HCL OneTest Embedded
    Automating the creation and deployment of component test harnesses, test stubs and test drivers is a cinch thanks to OneTest Embedded. With a single click from any development environment, one can profile memory and performance, analyze code coverage and visualize program execution behavior. Additionally, OneTest Embedded helps be more proactive in debugging, while identifying and assisting in fixing code before it breaks.
  • 24
    Istanbul

    Istanbul

    Istanbul

    JavaScript test coverage made simple. Istanbul instruments your ES5 and ES2015+ JavaScript code with line counters, so that you can track how well your unit-tests exercise your codebase. The nyc command-line-client for Istanbul works well with most JavaScript testing frameworks, tap, mocha, AVA, etc. First-class support of ES6/ES2015+ using babel-plugin-Istanbul.
    Starting Price: Free
  • 25
    OPTIMA

    OPTIMA

    Encore Software Services

    Testing can only show the existence of defects and never their absence, and that exhaustive testing quickly becomes impossible even in small systems. Thorough testing & time saving are key buzzwords for any test team. But, how do you achieve both? How do you pack more coverage into fewer tests? Teams that carefully analyze the actual coverage achieved by their existing tests usually discover far more potentially serious coverage gaps than they anticipated. ...
  • 26
    SimpleCov

    SimpleCov

    SimpleCov

    ...In most cases, you'll want overall coverage results for your projects, including all types of tests, Cucumber features, etc. SimpleCov automatically takes care of this by caching and merging results when generating reports, so your report actually includes coverage across your test suites and thereby gives you a better picture of blank spots. SimpleCov must be running in the process that you want the code coverage analysis to happen on.
    Starting Price: Free
  • 27
    PCOV

    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.
    Starting Price: Free
  • 28
    Xfinity Speed Test
    ...It is important to differentiate between the speed of the Internet connection “to your home” and the speed reached by an individual device “within your home” because they are two very different measurements. Internet speed tests, like this one or the test found at SpeedTest , measure the latest or the speed reached by the device running the test. The results of this test are often less than the speed of your plan due to several factors beyond the control of your Internet provider, including WiFi conditions and device capabilities. Good coverage means that your device is receiving a strong Wi-Fi signal. ...
  • 29
    Keploy

    Keploy

    Keploy

    Keploy is an open-source, AI-powered test-generation platform for developers. It generates unit, integration, and end-to-end tests and realistic data mocks and gets 90% code test coverage within 2 minutes. Keploy can continuously monitor live environments for different user behaviour and can generate, and maintain test suites with high test coverage. These tests are then run in secure lightweight virtual environments in CI/CD or on a developer's laptop.
    Starting Price: Free
  • 30
    Coveralls

    Coveralls

    Coveralls

    We help you deliver code confidently by showing which parts of your code aren’t covered by your test suite. Free for open-source repositories. Pro accounts for private repositories. Instant sign-up through GitHub, Bitbucket, and Gitlab. Maintaining a well-tested codebase is mission-critical. Figuring out where your tests are lacking can be painful. You're already running your tests on a continuous integration server, so shouldn't it be doing the heavy lifting? ...
    Starting Price: $10 per month
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