Best Continuous Testing Tools for Android

Find and compare the best Continuous Testing tools for Android in 2025

Use the comparison tool below to compare the top Continuous Testing tools for Android on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Parasoft Reviews
    Top Pick

    Parasoft

    $125/user/mo
    125 Ratings
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    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.
  • 2
    WebLOAD Reviews

    WebLOAD

    RadView Software

    RadView WebLOAD is a leading enterprise AI-based performance and load testing solution for testing web, mobile, and packaged applications. It supports over 150 protocols and technologies, including all common front-end frameworks, APIs, message queues, and databases, enabling load testing across any enterprise technology stack. RadView WebLOAD.AI, is available as SaaS and can also be self-hosted in the cloud or on-premise. It is highly scalable and can simulate hundreds of thousands of concurrent users from different locations and cloud platforms. Smart and easy generation of reliable tests and its powerful AI-based analytics capabilities, RadView WebLOAD makes performance teams highly successful in detecting and quickly resolving performance issues. With built-in integration into most of the popular Testing, CI/CD and APM tools, as well as a rich API that makes it easily pluggable into any delivery pipeline. Adding its built-in flexible deployment, it makes RadView WebLOAD easily adaptable into any development, testing, or operation environment, and processes.
  • 3
    Launchable Reviews
    Having the most skilled developers isn't enough if testing processes are hindering their progress; in fact, a staggering 80% of your software tests may be ineffective. The challenge lies in identifying which 80% is truly unnecessary. We utilize your data to pinpoint the essential 20%, enabling you to accelerate your release process. Our predictive test selection tool, inspired by machine learning techniques employed by leading companies like Facebook, is designed for easy adoption by any organization. We accommodate a variety of programming languages, test frameworks, and continuous integration systems—just integrate Git into your workflow. Launchable employs machine learning to evaluate your test failures alongside your source code, sidestepping traditional code syntax analysis. This flexibility allows Launchable to effortlessly extend its support to nearly any file-based programming language, ensuring it can adapt to various teams and projects with differing languages and tools. Currently, we provide out-of-the-box support for languages including Python, Ruby, Java, JavaScript, Go, C, and C++, with a commitment to continually expand our offerings as new languages emerge. In this way, we help organizations streamline their testing process and enhance overall efficiency.
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