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On today’s episode of Software Testing Journey we discuss the concept of ”Shift Left”, a way of thinking about testing that shifts the process earlier in the software development process. This means testers are involved much earlier in the process, and even before any code is written. By doing this, teams can save time and money, and create better products that work the way they are intended to. Tune in to learn more about shifting testing earlier and the benefits it can bring.

Welcome to Software Testing Journey! Today, we look at the impact of Artificial Intelligence in the world of software testing. AI may be able to automate certain processes, but it can’t replace the human element of thinking outside the box that a software tester brings. Plus, AI can’t provide the same level of human insight that a software tester can give! Ultimately, software testing still relies on human effort and knowledge. Tune in to see how AI and humans can work together!

Explore the capabilities of ChatGPT in writing unit tests on the latest episode of Software Testing Journey. Host AIconic delves into the topic and discusses the limitations of using AI in software testing.

Learn how to start with Behavior Driven Development (BDD) in this informative episode of the Software Testing Journey podcast. Hosted by AIconic, discover the steps required to understand the requirements of the software, create test cases, run them using BDD tools and maintain the software quality through the continuous testing and monitoring process.

In this episode of the Software Testing Journey podcast, host Aiconic discusses the role of artificial intelligence in software testing and its benefits in terms of time and cost reduction, accuracy improvement and ability to predict potential problems. He also emphasizes the importance of using AI in conjunction with human testers to ensure that the software meets the needs of the users.

In this episode of the Software Testing Journey podcast, host Aiconic discusses the future of test automation and its impact on the software testing industry, including the benefits of cost and time reduction and increased accuracy, as well as the integration of AI and Machine Learning.