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Evolution of Generative AI in Software Testing

Letu2019s delve into the Evolution of Generative AI in Software Testing, tracing the key milestones, methodologies, and tools that have revolutionized the testing landscape.<br><br>Join us on this journey through time and statistics.

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Evolution of Generative AI in Software Testing

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  1. Early Beginnings: Predominantly manual testing with limited tools and process Predominantly manual testing with limited tools and process Predominantly manual testing with limited tools and process 2000s: Bug leakage is reduced by an average of 65% Automated Tests reduced testing time by an avera- ge of 60% Adoption of Automated Testing increased by 50% from 2000 to 2010 swipe www.kairostech.com

  2. Mid 2000s: Increased reliance on human effort. The scripts needed to be meticulously crafted and maintained, which proved time-consuming. 2023s: Generative AI covers approximately 50-60% more scenarios. Gen AI-based tools reduced test creation time by 75% Generative AI emerged as a game-changer for test automation. Reduced testing time by about 75% swipe www.kairostech.com

  3. Integration of ML in testing is expected to grow 75% by 2026. AI will collaborate with testers, providing improved insights and recommendations. KiTAP’s no-code platform helps you automate everything with lightning-fast execution. KiTAP’s Intelligent AI engine helps you maintain tests with self-healing. Its seamless CI/CD integration ensures smooth DevOps workflows. www.kairostech.com

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