Porte-clés Tay Boot

Fabriqué en acrylique marron mat

Taille 7cm     

Porte-clés homard cœur argenté                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          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their test, it's just given to them. So instead of having a writer that writes a number of test cases, which might be hundreds of lines of code or might be hundreds of thousands of lines of code, you've got essentially a function that can take some inputs and generate hundreds or thousands of test cases from those inputs, and that's an enormous improvement, because it means you don't have to hire as many writers. **C**: That's a huge improvement. And you mentioned a couple of examples here that I think highlight the benefits of using generative AI for software testing. One is the ability to generate a large volume of test cases very quickly, which can save a lot of time and resources. And the other is the ability to generate more diverse and comprehensive test cases, which can help to identify more bugs and improve the overall quality of the software. **G**: Yeah, that's exactly right. It means you don't have to hire as many writers. It means you can do a much more thorough job with the same number of writers. It means you can get better test coverage. And it means that the test cases that you get are going to be more representative of what real world use looks like, rather than just what the writer thought of. **C**: Right. And I think that's a key benefit. It's not just about the quantity of test cases, but also the quality and the diversity of those test cases. So, you're not just generating more of the same, you're generating a wider range of scenarios that are more likely to uncover those edge cases and those harder-to-find bugs. **G**: Exactly. And you can use that for a number of different things. So, a lot of the work that I'm doing in generative AI and testing is around security testing and fuzzing. So, what you can do there is you can apply these kinds of techniques for testing things that require some kind of an adversarial input. So, you can try to break the application with inputs that it wouldn't normally expect, and that can help you find security vulnerabilities and other issues that you might not find through normal testing. **C**: Right. So, it's like having an army of intelligent adversaries constantly trying to break your software in novel ways. **G**: Yeah. And what we're finding is that the results are fantastic, right? You're finding things that you wouldn't find with more traditional techniques. You're finding things that are actually exploitable, not just things that are technical bugs. You're finding things that matter. And you're doing that with a minimal amount of human effort. It still takes human effort, but it's a minimal amount of human effort. **C**: And what about the cost factor? Does generative AI help to reduce the cost of software testing? **G**: It helps dramatically. So instead of having to hire a large team of manual testers, you can use generative AI to automate a lot of the testing process. And this can save a significant amount of money in terms of salaries and other expenses. And it also means that you can get your software to market faster, because you don't have to spend as much time on testing. **C**: So it's a win-win situation. You get better quality software, and you save money at the same time. **G**: Yeah, exactly. And it's not just about reducing costs. It's also about improving the quality of your software. Because when you have more comprehensive and diverse test cases, you're more likely to identify and fix bugs before they ever reach your customers. And that can lead to a much better user experience and a stronger reputation for your company. **C**: That's a great point. And I think it's important to emphasize that generative AI is not meant to replace human testers entirely. It's more about augmenting their capabilities and allowing them to focus on more complex and strategic tasks. **G**: Yeah, that's exactly right. It's not about replacing people. It's about making people more productive. It's about letting people do more interesting and complex work, rather than just doing a lot of repetitive, manual testing. And that's a really important distinction. **C**: So, it's about empowering human testers with more powerful tools. **G**: Exactly. And that's something that I'm really passionate about. I think generative AI has the potential to revolutionize the way we do software testing, and I'm excited to be a part of that. **C**: That's fantastic. Gabe, thank you so much for sharing your insights on generative AI and software testing. It's been a really informative and engaging conversation. **G**: Thank you, Carl. It's been a pleasure.