In 2023, only 15% of businesses had adopted AI-augmented software testing tools, with the expected adoption of this number expected to reach 80% by 2027. This rapid adoption is due to the increasing complexity of modern software and products, leading to risks associated with quality assurance (QA) that can cost more than money. Testing automation is becoming the preferred solution to mitigate these risks, using tools like regression testing or AI-driven anomaly detection. Automation in QA involves the use of software tools and scripts to execute repetitive test cases, identify defects, and validate functionality without manual intervention. This article discusses the risks of QA, including insufficient test coverage, inconsistencies in execution, and human limitations such as fatigue or cognitive biases, as well as the benefits of automation. It also discusses the challenges faced by organizations adopting automation and future of this transformative practice. The article concludes that while manual testing is slow, inconsistent, and difficult to scale, automated tools offer a reliable and repeatable way to execute test cases. It highlights the advantages of automation for quality assurance in high-stakes industries such as finance, healthcare, financial systems, and regulated industries. It emphasizes its ability to detect issues early in the development process, which can reduce failure rates by up to 85%.
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