QA Manual Engineers have been a critical part of software engineering processes for decades and it doesn't look like that is going to change anytime soon. In recent years the emergence of artificial intelligence (AI) applications such as ChatGPT has offered an alternative to manual QA engineers working on projects. Despite this, manual QA engineers still remain the gold standard when it comes to testing software applications. In this blog post, we will discuss 10 reasons why AI-based solutions such as ChatGPT will not substitute human QA manual testing processes, now or in the foreseeable future. Read on to find out why!
1. QA Manual Engineers have the expertise and experience in problem-solving
Quality Assurance Manual Engineers have a unique set of skills that make them invaluable problem-solvers in the workplace. Their expertise and experience ensure they possess an in-depth understanding of the quality assurance process that cannot be easily replicated by ChatGPT and other AI technologies. This deep knowledge is key to recognizing and resolving common problems quickly and efficiently. Furthermore, QA manual engineers bring creative solutions to the table by utilizing their years of hands-on experience to take a novel approach to their work. In summary, their expertise, experience, and creativity make QA Manual Engineers essential assets for successful problem-solving in any business setting.
2. QA Manual Engineers can identify nuanced issues that ChatGPT may overlook
Quality Assurance (QA) engineers provide a critical and specialized role in manual testing. These individuals can identify nuanced issues that automatic checking methods such as ChatGPT, cannot recognize. Manual QA engineers possess the complex problem-solving skills necessary to uncover bugs or quality issues that might have hidden patterns or be difficult to detect with automated tools. In addition, they understand the product and its business objectives, which is an asset given potential impacts may not always be immediately apparent when an issue is encountered. Without manual QA engineers utilizing their experience and intuition, these nuanced issues could go unnoticed and potentially be damaging for a product's development cycle.
3. QA Manual Engineers are trained to pay attention to detail
Quality assurance manual engineers are an essential part of any successful project. They have the expertise and training to ensure that work is completed to a high standard, paying attention to even the smallest detail. The human eye can catch errors that AI may miss and QA engineers are able to flag any issues with workflow quickly. By having humans on hand, there is a real energy and creativity that automation can’t bring. They are able to act fast when problems arise and use their communication skills to resolve them efficiently. For projects that require accuracy and precision, it's out of reach for artificial intelligence: making a professional manual engineer invaluable in the age of new technology.
3. QA Manual Engineers can provide feedback on user experience that is not possible through AI
Quality Assurance (QA) manual engineers can offer invaluable feedback on a user's experience with a product or service that artificial intelligence (AI) simply cannot duplicate. Due to the human element, an engineer can assess how user-friendly a program, service, or application is through the eyes of an actual user. AI may be able to detect discrepancies in coding and find errors; however, it is not capable of understanding the nuances of how real users will interact with a product. Moreover, because AI lacks empathy, it can’t provide insights into how customers are feeling about their experience or whether they are getting value from it. QA manuals engineers bring those perspectives to any project, which allows companies and other organizations to ensure they’re offering the highest possible quality when they launch their products.
5. QA Manual Engineers understand the context of bugs, making them better at debugging than AI
QA Manual Engineers have an advantage over AI when it comes to debugging code. This is because QA Manual Engineers understand the nuance of how the code works, allowing them to better spot bugs that only appear in certain contexts. AI algorithms are great at quickly detecting simple errors and can be taught to analyze code, but they cannot necessarily comprehend why certain conditions cause issues or how the system works as a whole. By leveraging their understanding of context, QA Manual Engineers are much better equipped to debug issues than AI.
Conclusion
Ultimately, QA Manual Engineers are capable of identifying and reporting bugs better than standard ChatGPT AI. From the experience they possess, to their attention to detail, the manual engineers have a well-rounded understanding of problems that may evade even the best AI.
The communication between an engineer and user also provides valuable feedback on user experience that AI cannot substitute. This makes manual testing an invaluable part of any product development process. In conclusion, there is no doubt that ChatGPT can help to diagnose many issues with a product but its limitations mean that it cannot entirely substitute manual QA engineers.
If you are looking to get trained in Quality Assurance testing, Careerist is dedicated to providing the highest quality online training and resources so you can become an expert QA Manual Engineer. Apply for training with a Careerist today!