AI Testing News and Articles
Welcome to this week's issue! Together, we'll explore a variety of insightful articles and research pieces, delving into the perspectives on AI and ChatGPT's role in software testing. If you've been keeping up with the news, you'll know that AI is a hot topic that's rapidly transforming technology and innovation. ChatGPT, in particular, is on the rise and gaining traction in the industry. Let's dive in and discover more!
1- ChatGPT and Software Testing Education: Promises & Perils
In an interesting study conducted by George Mason University, researchers assessed ChatGPT using questions from a software testing textbook. They evaluated its accuracy, ability to explain responses, adaptability in answering various questions, and the correlation between its confidence and correctness.
The findings are quite compelling. It appears that ChatGPT doesn't perform exceptionally well in software testing scenarios, with a correct answer rate of 55.6%.
2- Software Testing: What Generative AI Can—and Can't—Do
Check out this blog post by the CTO at Kobiton. He talks about what's good and what's not so good about using ChatGPT in software testing. While ChatGPT can help testers, it's important to remember it has some limits.
3- Two Simple Reasons that ChatGPT (AI) Won’t Work in End-to-End Test Automation
Not every piece about ChatGPT is showering it with praise. In an insightful article that follows, Zhimin Zhan explores why AI may not be suited for end-to-end testing. He puts forth some compelling arguments, emphasizing that the real challenge in test automation is maintenance, an area where ChatGPT currently falls short.
Dive into his perspective to gain a well-rounded view of AI in software testing.
4- Coding Won’t Exist In 5 Years. This Is Why
In this thought-provoking article, the author explores the impact of AI on coding and emphasizes the importance of programmers adapting to this changing landscape. The article highlights how embracing AI tools can improve debugging, code comprehension, and code quality.
It's a valid point that programming extends beyond coding alone. While tools like chatGPT can potentially replace or simplify certain coding tasks, it's essential to recognize that programmers have significant responsibilities that are challenging to be fully replaced by AI.
And our final article:
The article outlines how Artificial Intelligence (AI) is transforming software testing by overcoming traditional challenges such as complex setup and maintenance. It posits that AI testing tools have the potential to streamline setup and test creation, increase test stability, and diminish the need for coding expertise. While AI is not expected to completely replace human roles in QA, it is projected to enhance team efficiency and robustness.
We're still in the early stages of the AI journey. Scientists and tech experts suggest we should proceed with caution, as the current version of ChatGPT may require adjustments to enhance its accuracy and multitasking abilities.
As professionals in software testing, we should closely observe these fascinating developments and improvements. Who knows what the future holds? So, let's stay curious and maintain a positive outlook on what AI and ChatGPT can potentially bring to the table in our profession.
Happy testing! ✌️