Software Testing Blogs Hotlist | Testing Feeds

AI-based automation testing helps the testing processes to achieve a slew of benefits. These include automated building and maintenance of test suites, predictive self-healing, visual validation, and cloud-based virtualization.

To pack a punch with the QA initiatives, business enterprises are utilizing AI-based testing to predict user behaviour, automate continuous testing, identify the root causes of glitches, and improve profitability, among others.

AI tools can significantly enhance the level of software quality assurance leading to better test outcomes. They should be chosen with due care to achieve QA and cost optimization.

Artificial Intelligence and machine learning can help address the growing complexity associated with QA by writing and executing automated codes and predicting the users’ needs.

An automated customer service interface in an AI environment has improved customer experience a great deal. It is, however, needed to be tested for effective functioning and performance.