Manual testing can take hours and make continuous development difficult unless you have access to unlimited resources. Accuracy is also an issue – testers are only human and can easily miss small changes. Software testing is subject to error in organizations that rely solely on manual testing and often presents a bottleneck. Many businesses are now combining automation with manual testing in order to speed up the process. Teams can carry out test cycles faster by automating repeated test cases, leaving the manual limited to defining the case, reviewing outputs, and carrying out a final quality assurance (QA) overview.

Artificial intelligence is transforming modern business and the modern way of life. Along with machine learning and continuous human support, artificial intelligence is seeing vast adoption rates across entire industries and sectors. Software development and software testing are definitely two of the best examples of AI application as well as the use of machine learning and deep learning systems to achieve short, mid, and long-term goals. Software developers and dev agencies can nowadays lean on AI and machine learning to streamline their processes and ensure better output and performance. Let's take a closer look at some of the most interesting ways software developers can leverage AI and complementary technologies like machine learning to enhance software development and testing.

Nearly two-thirds of large enterprises are running mainframe-based apps dating back two decades, according to the recent Mainframe Modernization Business Barometer Report from Advanced. Over a quarter of businesses run production applications that are as much as 30 years old–some even go back to the 1960s. For example, in a conversation with a friend at a U.S. public pension fund with nearly $100 billion under management, he told me they decided to take action and migrate most of their remaining mainframe applications from COBOL to Java. Well, for one thing, it was hard to find developers who knew the language, or wanted to, with COBOL ranking #1 as the "most dreaded" programming language in Stack Overflow's annual survey. But there were more reasons for embracing Java, starting with a desire to make better use of DevOps to improve software delivery. When migrating from COBOL (or any language) to Java (or any language), it's smart to start with testing requirements.