Chat GPT, as an artificial intelligence language model that caused the "red alert" of technology giants, has swept the world in a short period of time, with more than 100 million active users in just two months after its launch. Bill Gates even commented that "the emergence of this AI technology is of great historical significance, no less than the birth of the Internet and personal computers."
Chat GPT, which has attracted much attention in various industries, has triggered discussions on the entire network to replace search engines and programmers. All kinds of speeches are sweeping in. As a software tester, I believe many people feel a sense of crisis. However, is Chat GPT really so invincible? For software testers, what should we pay attention to?
What is Chat GPT?
GPT-3 (short for "Generative Pretrained Transformer 3") is a large language model developed by OpenAI. It is capable of generating human-like text and can be used in a wide range of natural language processing tasks such as translation, summarization, and text generation.
For those of us in the software world, one of the most interesting features of Chat GPT is that it can generate well-formed and relevant code or find bugs in code and suggest fixes based on simple natural language requests.
Chat GPT and software testing
According to a recent survey report, Chat GPT has been able to find and fix 77.5% of bugs. Compared with existing automated testing tools, this result is already very impressive. At present, many testers are trying to use Chat GPT to generate test cases. Besides, what contribution can Chat GPT make to software quality assurance? Let's take a look at its own response.
How does Chat GPT help QA engineers improve work efficiency?
1. Task automation. Chat GPT can automate certain QA tasks, saving time and energy for QA engineers.
2. Improve accuracy. Chat GPT can help improve the accuracy of QA work, reduce rework, and simplify the QA process.
3. Facilitate teamwork and knowledge acquisition. Chat GPT can promote collaboration, facilitate customers to quickly access relevant information and resources, improve communication and coordination within the team, and reduce the time and effort required to find and evaluate information.
It's more of a crisis than an opportunity
The development of natural language processing models has brought us surprises, but at the same time, it has also made many people feel a sense of crisis.
"Will AI replace programmers?"
Many people have raised this question. But we all know that the answer is no. Whether it is a development engineer or a test engineer, the work required is not simply to write code, but also to "create" and turn ideas into solutions. Furthermore, Chat GPT is not omniscient, and it may give wrong answers.
As a tool to improve work efficiency, promote teamwork and learning, Chat GPT is really helpful. But a tool is very dependent on the person using it. It is normal for us who are engaged in the software testing industry to have a sense of crisis, but how to give full play to the characteristics of "human" and make full use of "intelligence" is a problem that we should consider more now.
Finally, only this reply from Chat GPT is used to answer the doubts of all software testers.
Do testers have a future in the tech industry?
In the future, testers will likely continue to play an important role in the tech industry. As software and technology become more complex and sophisticated, the need for thorough testing and quality assurance will only increase. Testers help ensure the reliability, efficiency and user-friendliness of software and technology products, and they play a key role in the development process.
While the specific tasks and responsibilities of testers may evolve and change over time, the need for high-quality testing is likely to continue to be an important aspect of the tech industry. Therefore, there should be a strong demand for skilled and experienced testers in the future.