Use Of AI in Software Testing

 The recent explosion of AI has invaded almost every industry nowadays. It has become something of a buzzword, with many companies loudly proclaiming how they are making use of the emergent technology to benefit their customer bases. Chat gpt and other types of  AI have already started creating all sorts of problems within the academic setting, giving many students an easy out on writing essays. Not only that, but AI is also now being attributed as one of the main driving forces behind massive layoffs within the tech industry and beyond.


All of that being said, how can AI be utilized to improve software testing. I know that immediately trying to think of ways for AI to replace even more jobs within the software industry can be a bit jarring after bringing up the problems it has already created, but I wanted to look into how the future may look if we were to utilize this technology to expedite the testing process. It is entirely possible that we could teach proper testing etiquette to an AI model and have it automatically produce test cases. Future IDEs could have an auto generated test file feature added to them to help developers quickly create basic test cases. Well, I didn’t have to speculate for long as one google search later I had already found a website for using an AI to create test cases. This does pose a rather worrying question about the speed at which AI is developing and whether our modern society can keep up with it, but I would rather not dwell on such topics. Now, there have been concerns about the proliferation of AI potentially poisoning the well of data that they use, and I do believe that certain measures will need to be taken to prevent another event like the dot com bubble burst from happening again today. 


https://www.taskade.com/generate/programming/test-case 



 Another use case for artificial intelligence that has been proposed  is the generation of “synthetic data”. This is data created to mimic real life data in order to test and train programs. DataCebo is one such company, and has been using an AI to create synthetic data. Called Synthetic Data Vaults, or SDV for short, These systems are usually sold to data scientists, health care companies, and financial companies. The purpose of creating realistic synthetic data is so companies can train programs in a number of scenarios without relying on historical data, which was limited to that which has already happened. This also gets around privacy issues of companies using people’s private data unethically.


https://news.mit.edu/2024/using-generative-ai-improve-software-testing-datacebo-0305

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