Smart Testing – In the age of Machine Learning!
Artificial Intelligence and Machine Learning are becoming wide spread across various industries. It plays a vital role in developing sci-fi sounding stuff such as Self driving cars and more practical things that touch human lives almost every day, like Voice assistants, Chatbots, Smart power grids etc. In Software testing, transition from traditional approach to CI/CD driven DevTestOps model is essential to cope up with increased release cadence. Test automation has helped keeping up with the required delivery speed, however adapting AI/ML capabilities in test automation will be a go-forward approach. Evolution of Software testing To begin with, let’s review how Software testing has evolved over past few years. As testing evolved, so does the tools & techniques. However to keep up with the pace of change in the technology, testing strategies must reinvent and bring in required change. Current challenges in Software Testing From days of slow paced deliverie