Artificial intelligence is making software more accurate and easier to verify
Today’s artificial intelligence (AI) is much more sophisticated than it was even three years ago. Advances in the technology have led to its finding its way into a number of different industries and it is now being seen in one particular area that has significant promise- software testing.
AI is now being used to cover the more laborious and tedious IT tasks. It has been a challenge reaching this level, as it required a considerable amount of data input from humans in order to allow automated tools to understand what was considered incorrect or correct code. There is still a lot to be done and more data will need to be added in order to make AI software testing more efficient and accurate.
It’s highly unlikely that AI will evolve to the point that it could replace completely the need for human expertise. However, there are already a number of examples where AI is being used to make software interaction easier. An example is the multitude of website building applications available today, virtually all of which incorporate some form of AI to create logical approaches to the design of the site.
In order for those applications to work properly, they have to be tested. This is taking place through, to a certain degree, with the assistance of AI. To reach this point, though, a significant amount of data had to be fed into the AI’s database so it could understand what was being accomplished, and how it should be accomplished.
One of the main challenges with AI and machine learning is finding the correct use cases that will allow AI to work appropriately. The pieces are easy enough – the test idea, the data and the expected result – but any deviation can cause issues. AI is leading to better software development, but there is still a certain need for human intervention.
