AI

This blog post is about Day 19 of the 30-Day AI Testing Challenge, focusing on exploring the role of AI in test priority sorting and evaluating its pros and cons. The article may include the author’s practical application cases of AI in test priority sorting, as well as the benefits and challenges brought by using AI. By sharing experiences and evaluations of applying AI in test priority sorting, readers will gain insights into the author’s views on the actual effects and impacts of AI in the testing process. This series of activities hopes to provide testing professionals with an opportunity to understand and explore the role of AI in test priority sorting, and to promote further discussions about the application of AI in testing.

This blog post is about Day 18 of the 30-Day AI Testing Challenge, aimed at sharing the biggest challenges participants face in AI testing. The article may include difficulties, challenges, and obstacles encountered by the author in practice, as well as corresponding solutions or coping strategies. By sharing the difficulties and challenges encountered, readers can understand the problems others may face in AI testing and gain inspiration and assistance from them. This series of activities hopes to provide a platform for testing professionals to exchange, learn, and solve problems together, promoting progress and development in the field of AI testing.

This blog post is about Day 17 of the 30-Day AI Testing Challenge, looking at automating bug reporting with AI and sharing your personal process and evaluation results. The article may cover the author’s process for automating defect reporting using AI technology, including tool selection, implementation methodology, benefits of automating the process, and evaluation results. By sharing the process and evaluation results of automated defect reporting, readers will learn about the authors’ experiences and lessons learned in practice, as well as the potential of AI technologies to improve the efficiency of defect management. This series promises to provide an opportunity for testing professionals to understand and explore the use of AI to automate defect reporting and to promote technological advancement and innovation in the industry.

This blog post is about Day 16 of the 30-Day AI Testing Challenge to evaluate the adoption of AI for accessibility testing and share personal findings. The article may cover the author’s experience with the practical application of accessibility testing with AI, including the selection of AI tools, improvement of testing methods, and validity of test results. By sharing evaluations and findings on accessibility testing with AI, readers will learn about the authors’ applications in real-world testing scenarios and learn from their experiences and lessons learned. This series promises to provide an opportunity for testing professionals to learn about and explore the use of AI in the field of accessibility testing, and to foster industry dialog and technological innovation.

This blog post is about the advanced usage of the Postman API Automation Testing tutorial, focusing on the trial of the AI assistant Postbot. The article may include the author’s introduction to Postbot’s features, how to use it, advantages and scenarios. By sharing the trial experience of Postbot, readers can learn how to optimize the API automation testing process with the help of AI technology to improve testing efficiency and accuracy. This tutorial is expected to provide Postman users with an opportunity to learn more about and try out the AI assistant, as well as provide guidance and inspiration for applying new technologies in API testing.