Quality assurance will remain relevant with AI
December 8 - 23
In this era of rapid technological changes, the rise of automation and artificial intelligence (AI) has disrupted traditional processes across industries. The field of quality assurance (QA) is no exception, as organizations increasingly embrace AI-powered testing tools and automation to streamline their software development lifecycles. However, manual QA professionals must adapt and evolve to remain relevant in this changing landscape.
The evolving QA landscape
Manual QA has been the backbone of software testing for decades, ensuring the quality and functionality of applications before they are released. Automated testing has been widely adopted at the unit, functional, and often at the integration levels, but there is still a layer humans have to perform since it’s typically too costly to automate. However, AI is reshaping the QA landscape by providing faster and more efficient ways to test software. AI algorithms can identify patterns, analyze large datasets, and even perform complex tasks like image recognition, ultimately enhancing testing accuracy. As a result, manual testing, which depends heavily on human intervention, is facing increased pressure to demonstrate its continued value.
AI won’t replace manual testing
While the rise of automation and AI may raise concerns about the future of manual QA, it is crucial to recognize that these emerging technologies are not intended to completely replace manual testers. They are meant to enhance and augment existing QA processes. Manual QA still plays a critical role in certain areas that require human intuition, creativity, and adaptability. Manual testers are best suited for exploratory testing, usability testing, and identifying edge cases that automated tools may miss. Making sure the app feels intuitive, focusing on the “wow” factor, and bringing the perspective of the end-user are all things that only a human can and should judge.
Preparing for the future of AI in QA
Mirego recommends the following strategies to manual QA profesionals seeking to continue providing value in a world increasingly influenced by automation and AI: