The software testing landscape continues to evolve. We have seen the continuation of developing trends and the emergence of new trends in 2019. This year, our team of automation experts has cast a few predictions on the latest trends in the software testing industry. Check them out! To see the recap on 2019 software testing trends, read our article here . 1. Artificial Intelligence and Machine Learning in Testing  Intelligent automation will continue to be on the software testing radar in 2020, according to a variety of reports.  Applications of artificial intelligence and machine learning (AI/ML) have been leveraged in software test automation before. AI makes testing smarter. Teams can leverage AI/ML to optimize their automation strategies, adapt faster, and operate more effectively.  In 2019, quality assurance (QA) teams have applied AI/ML in predicting test quality, prioritizing test cases, classifying defects, detecting test objects, interacting with app

2019 is almost over. The software testing landscape has seen numerous introductions in new testing approaches and innovations at an exponential rate. It has also witnessed the continuation of technological improvement, evolution, and reinvention. As we are progressing to 2020, let’s take a retrospective look at the top trends in test automation and see how we stand after one year. Our team at Katalon has reflected on the most popular trends that took place in the software testing industry over the course of one year. We have compiled the five most influential software testing trends in 2019. Check them out! 1. Continuous Testing Gets Even More Popular Continuous testing  persisted in going mainstream. Although this concept was coined back in the early 2010s, it was forecast to become trendy in 2019. Continuous testing is a software testing method that allows a constant flow of feedback between the developers and testers — throughout the entire software development lifecy