As the pace of software development continues to accelerate, automated testing has emerged as a vital component for delivering high-quality products. Yet, many organizations face significant challenges when it comes to the adoption of test automation because of its inherent complexities and maintenance demands. Writing robust test cases, managing brittle selectors, and handling workflow changes require a combination of technical expertise and manual intervention, which can limit automation’s full potential.
In this live Tech Talk, veteran technology journalist John K. Waters talks with test automation expert Deba Chatterjee about how generative AI is revolutionizing the landscape of software testing. By leveraging natural language processing and intent-based automation, generative AI simplifies the creation of tests, automates assertions, and enhances resilience against application changes. Discover how this technology enables QA engineers to scale their efforts while maintaining reliability, with humans remaining integral to the process for validation and oversight.
Key topics include:
- Overcoming roadblocks in test automation through generative AI.
- Using AI-powered tools to generate, maintain, and heal test cases automatically.
- Addressing brittleness in automation and improving visual validation with generative AI.
- Real-world applications of generative AI to boost QA productivity and release velocity.
- Insights into Harness's innovative approach to AI-driven testing and its impact on reducing manual effort.
Join us to learn how generative AI transforms traditional testing, enabling organizations to deliver reliable and high-quality software faster than ever before.
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