According to the Markets and Markets report, the global Automation testing market size is expected to grow to USD 49.9 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 19.2% during the forecast period (2021-2026).
Yes, I am confident because our testing process is fully automated.
Of course, it has marked benefits in terms of accuracy, scalability, dependability, enhanced test coverage, and time & effort saving.
I guess so….
If you did, then there is a reason for it. Your test automation is not giving you desired results. And here is the reason why…
Augmenting test automation with the capabilities of AI introduces the dimensions of continuous learning, analysis, and decision-making to the continuous testing process by emulating human behavior without any actual human involvement.
As per the recent study conducted by Gartner Inc., the business value of AI will reach $5.1 billion by 2025. In another study conducted by PwC, AI could contribute up to $15.7 trillion to the global economy by 2030.
What if software testing can self-evolve and heal?
More importantly, What if there is a testing service that can help you achieve your target of efficiency, and productivity and meet/beat the deadlines?
Faster GTM of a high-quality product will not only enhance the brand value of your product but also result in cost savings.
Read on to know how AI-based test automation saves time and cost.
AI-based test case generation frees up the testing team from the tedious task of writing test scripts. It also identifies the right candidates for automation and has the capability of generating thousands of test scripts within a matter of a few weeks.
Why execute a whole test suite for a few changes? AI-based test automation analyzes the data from previous test cycles and identifies the right test cases to be executed for the changes done. This saves significant time and effort.
False failures can lead to unnecessary delays in the schedule because every failed test case needs to be triaged and addressed. The analytical capabilities of AI ensure that the test cases are marked correctly as true pass or true fail by learning from patterns of test results of previous test cycles and new information for the current cycle.
No one wants their application to crash because someone forgot to update the test case to reflect changes due to defect rectifications and new/updated requirements
AI algorithms integrated with the test automation framework can understand these changes and effortlessly self-heal the tests and re-execute them within the same cycle, thus speeding up the entire testing process.
AI-based test analytics analyzes the test results, generates detailed reports, and sends real-time alerts to all the stakeholders to bring them up to speed, enabling quick decision-making. You can read our blog on intelligent test analytics for better insights.
Are you ready to maximize efficiency and minimize the time taken in testing?
Webomates infuses intelligence in test automation thereby reducing overall software life cycle duration, increasing feature velocity, and reducing mission-critical defects.
Webomates’ AI discovery and generation tool can generate test scripts that are compatible with multiple automation frameworks.
Our AI Modeler engine aids in generating and automating the right test cases. It can produce up to 2000 Test cases and automated test scripts in less than 4 weeks.
Additionally, the AI Test Strategy and creator can help in devising a well-rounded test strategy for your software.
What usually takes others a week, Webomates can give you the test results within
Our patented AiHealing leverages the power of AI/ML and helps in identifying and fixing the defects in the staging environment itself. This ability to self-heal makes regression testing much more efficient and saves a significant amount of testing time. This frees the teams from exhaustive QA and gives them more time to deliver customer-facing, high-impact, and high-priority features (story point velocity).
Quick feedback and comprehensive reporting help in the early resolution of issues saving precious time and resources.
Webomates CQ provides a comprehensive triaged defect report that includes a defect summary, steps for replicating the defect, a 20-second video of actual bug instances, priority suggestions, and test cases mapped with the defect.
The following metrics illustrate how Webomates can make your testing process faster by helping you save time and improve quality further.
So are you willing to accelerate testing with Webomates? If yes, then Click here to schedule a demo with our team, or reach out to us at info@webomates.com.
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Tags: AI Testing, AI-based test automation, Artificial Intelligence, recession, Self-Healing Automation, Test Automation
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