Artificial Intelligence (AI) in software testing strives to make the testing process smarter, faster, and more efficient. Employing AI techniques in software testing can help us to reduce some time-consuming manual testing processes, such as automated test script generation and test optimization. However, as AI continues to permeate software testing, it is becoming more and more challenging to validate the system’s functionality, safety, security, performance, availability, and resilience. Therefore, AI needs testing. This talk provides an in-depth overview of the past, present, and future of AI in software testing, where we can learn how our future industry is headed by understanding AI’s past.
Key Takeaways
Artificial Intelligence Software Testing Machine Learning Test Efficiency
The presentation was recorded at the Data Innovation Summit 2021.
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