Leveraging Machine Learning for QA Testing and Software Development

The advent of DevOps paves way for businesses to actively look for real-time risk assessment backed by machine learning algorithms throughout the various stages of the software delivery cycle. QA engineers face a plethora of difficulties in the juggle to find out a perfect solution. At the time of testing, it becomes quite a task to make new additions in the existing code which has already gone through the testing process. Every time there is an expansion on the existing code, the development team must carry out new tests. While regression testing cycles can be time-consuming, undertaking them on a manual basis is bound to overwhelm QA engineers.