Testsigma helps engineering teams ship quality mobile apps 5x faster than traditional frameworks.
No more platform-specific tests. Write, or record and generate one script for testing both Android and iOS apps, in plain English.
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Make test maintenance obsolete. Testsigma AI updates UI elements and identifies regression-affected tests while you’re away.
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Reduce build times exponentially by parallelizing your automated mobile app test execution across 3000+ real Android and iOS devices.
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See how your application works, end to end, for users who switch between desktop and mobile devices.
See how it works.
See how your mobile apps behave for users in different countries by enabling geolocation testing.
Enable visual testing for entire tests, or only for steps that you need to test for visual regressions.
Replace multiple tools in your test stack with an integrated low-code platform.
Requirement management
Test management
Versioning
User and role management
Scheduled test runs
Local testing
Parallel testing
Cross browser and device testing
Interactive debugging
Drill-down test reports
Screenshots and videos
Text logs
AI Suggestion Engine
Productivity trends
Visual testing
Centralized agent control
Minimize manual intervention in SDLC with powerful integrations.
Mobile automation refers to using automation testing methods to test applications on mobile devices. This will help developers and testers to efficiently evaluate a mobile app's functionality, compatibility, and readiness before it is released to the public.
There are many tools available for mobile automation testing. However, Testsigma is considered one of the best and most popular open-source tools that support Android and iOS. It uses natural language processing to allow users to write test scripts in plain English, making it easy to use and understand.
Mobile automation testing is important to ensure that a mobile app's quality and usability meet standards. It helps thoroughly evaluate the app's functionality, compatibility, and performance on different devices and platforms. It also helps identify and fix issues/bugs before the app is released to the public.
