Global App Testing
Global App Testing (GAT) allows tech teams to test in over 189 countries with over 60,000+ professional testers who use real devices and environments.
Enhance your testing process and increase release quality and speed whilst improving budget efficiency via the GAT platform, which is fully integrated to work seamlessly with your existing DevOps or CI/CD tools.
Whether you are looking for full time QA support, or to manage spikes in your release cycles, the GAT integration-led approach empowers you to manage your entire testing workflow from test launch to results analysis without leaving your existing tooling (such as Github, Jira, Testrail etc).
Through our integrated platform, we enable unscripted exploratory testing and scripted functional test case execution to be embedded within your CI/CD and SDLC processes, providing the perfect synergy with your automation testing tools.
Test results are returned in real time. Start receiving results in as little as 15 minutes with a full bug report delivered within a few hours, enabling quick feedback on critical issues and edge cases.
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Boozang
It works: Codeless testing
Give your entire team the ability to create and maintain automated tests. Not just developers.
Meet your testing demands fast. You can get full coverage of your tests in days and not months.
Our natural-language tests are very resistant to code changes. Our AI will quickly repair any test failures.
Continuous Testing is a key component of Agile/DevOps. Push features to production in 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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Apache Bigtop
Bigtop is a project under the Apache Foundation designed for Infrastructure Engineers and Data Scientists who need a thorough solution for packaging, testing, and configuring leading open source big data technologies. It encompasses a variety of components and projects, such as Hadoop, HBase, and Spark, among others. By packaging Hadoop RPMs and DEBs, Bigtop simplifies the management and maintenance of Hadoop clusters. Additionally, it offers an integrated smoke testing framework, complete with a collection of over 50 test files to ensure reliability. For those looking to deploy Hadoop from scratch, Bigtop provides vagrant recipes, raw images, and in-progress docker recipes. The framework is compatible with numerous Operating Systems, including Debian, Ubuntu, CentOS, Fedora, and openSUSE, among others. Moreover, Bigtop incorporates a comprehensive set of tools and a testing framework that evaluates various aspects, such as packaging, platform, and runtime, which are essential for both new deployments and upgrades of the entire data platform, rather than just isolated components. This makes Bigtop a vital resource for anyone aiming to streamline their big data infrastructure.
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CoTester
CoTester stands as the pioneering AI agent for software testing, poised to revolutionize the field of software quality assurance. This innovative tool is capable of identifying bugs and performance problems both prior to and following deployment, delegating these issues to team members, and ensuring their resolution. Designed to be onboardable, taskable, and trainable, CoTester can perform daily tasks akin to a human software tester, smoothly fitting into current workflows. With its pre-training in advanced software testing principles and the Software Development Life Cycle (SDLC), it significantly enhances the efficiency of quality assurance teams by facilitating the writing, debugging, and execution of test cases at a speed up to 50% faster. Furthermore, CoTester exhibits conversational adaptability, enabling it to comprehend and address intricate testing scenarios while constructing high-quality context tailored to specific project needs. Its seamless integration with existing knowledge bases allows for effective access and utilization of current project documentation, making it an essential asset for any software development team. As a result, CoTester not only improves testing efficiency but also enhances collaboration among team members, ultimately contributing to superior software quality.
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