Top Software Testing Trends For 2019
Artificial Intelligence and Machine Learning Testing
With the advent of AI and Machine Learning, we are able to achieve maximum output with the least minimal amount of errors. Today, many organizations and structures have become self -reliant through their ability to run and test itself. Integrating AI to QA has remarkable benefits considering it helps in formulating smarter, innovative and faster testing architectures capable of adjusting to changes in its application. Due to such features of intelligent analytics, numerous organizations have already implemented them for their accurate predictions and interpreting decisions. Another favored testing aspect is the use of bots. Bots are used for generating test data, test environments, and lifecycle tests. Machine Learning is imperative as it plays a crucial role in real-time modeling transactions taking place in the banking domain and when integrated with AI can help trace illicit and suspicious transactions.Test Automation
IoT Testing
IoT testing or Internet of Things test automation has gained significant momentum. IoT means that the internet interconnects numerous data. Those programs which are intended to be connected are required to be initially tested for their security, quality, and efficiency. Before any IoT testing process is carried out, there are precisely six elements of testing needed, which are compatibility testing, scalability testing, security testing, performance testing, usability testing, and data integrity testing.