Automated regression testing is a type of testing performed with various automation tools, that verifies whether the complete application functionality works as intended after any new changes (code changes, updates, or improvements) made to the software.
Automated regression testing plays a key role in ensuring the stability, availability and performance of enterprise systems and products in such domains as finance, insurance, e-commerce, streaming, healthcare, government services, gaming and others.
It is exactly this type of automated testing that allows you to quickly, qualitatively and extensively validate all the declared functions, as well as find critical bugs due to the wide coverage of tests on all possible platforms and operating environments. Automated regression helps to reduce testing time by several times and significantly lower costs of ensuring and maintaining product quality, thus guaranteeing faster time-to-market.
Run your mobile automated regression testing in a fully secure environment, execute a huge amount of mobile test cases on a day-to-day basis, test advanced logic and get rapid results with Zebrunner Device Farm. It's a cross-platform solution for multithreaded test execution. It provides exclusive usage of Android and iOS devices 24/7. If you need fast results for your test run, you can split the test suite in multiple threads. For deep regression coverage for each device use single threads.
The attempt to accelerate regression testing rests on huge costs. This bottleneck can be eliminated with Zebrunner Selenium Grid. This is a cost-effective and scalable way to execute thousands of web tests against different browsers and their versions before the release. Run thousands of tests in parallel in a quarter of an hour. You can scale infrastructure up and down without monthly plan commitment. Pay only for the actual test infrastructure time used.
Efficiently manage and analyze a large number of test results with Zebrunner Testing Platform in real time. It provides access to rich test artifacts (screenshots, videos, test logs), performs AI failure reason analysis, identifies flaky tests, etc. QA managers can monitor each aspect of QA processes with smart dashboards: plan release dates and check test coverage, monitor ROI and KPI, identify gaps in team performance and optimize workload.
Verifies the functionality of the software application, checks if the function operates in accordance with the specification of the requirement. Involves testing of the UI, API, database, security, client / server interaction and other functionality of the AUT.
Tests the speed, response time, scalability and stability of the app under external influence, with different types and intensities of stress. Allows to identify potential vulnerabilities and weaknesses in the system in order to avoid damaging influence on the program's operation in the environment of use.
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Tests the behaviour of web applications in various browsers (e.g. Chrome, Firefox, Safari, Opera, Edge), in different operating systems and on a large number of devices (desktop, mobile or both if needed) with different screen resolutions.
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Represents the process of launching automated tests within the CI / CD pipeline in order to eliminate business risks before releasing into production. Continuous testing goes through the entire software development life cycle, from unit tests to functional monitoring.
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Includes the use of different types of software testing tools to evaluate the performance of the web application, as well as its functionality, usability, compatibility, accessibility and other criteria.
Constitutes the process of running automated tests on mobile devices for checking the functionality, performance, compatibility and other characteristics of the mobile application. Ensures that mobile apps are flawless and work well under different load conditions.
