One of the largest problems in traditional test automation is the high cost of maintenance of test scripts. In fact, maintenance can consume up to 42% of the total resources allocated to the automation of tests, mainly due to frequent applications updates. However, AI test automation offers self-healing capacities that considerably reduce this maintenance burden.
Without any human intervention, systems can, for example, resolve the defaults of the locally, the changes in user interface or the environment automatically. The localization algorithms of the dynamic elements in the systems supplied by AI were able to recognize the components of the user interface, even after a massive overhaul, with more than 94% precision. Such advancement saves time and reduce the maintenance costs of a large margin; Some companies have declared these savings up to $ 423,000 each year per request.
