What are the major challenges of software testing automation and how will this innovative approach resolve them? This expert series covers an overview of AI techniques used to power software test automation.
In our blog, we take a deep dive into the latest QA strategies, methodologies, and industry best practices driving the world of quality assurance. Follow our blog to get new ideas as to how to effectively deliver high-quality, bug-free software products, websites, and applications, while keeping costs low.
What are the major challenges of software testing automation and how will this innovative approach resolve them? This expert series covers an overview of AI techniques used to power software test automation.
Artificial intelligence or AI is one of the trends that is highly in-demand in the quality assurance industry. By implementing AI in the test automation framework, QA engineers can expect faster release cycles and businesses can provide good customer experience.
The use of AI in software testing is geared towards making the software development lifecycle easier. Through the application of reasoning, problem solving and machine learning, artificial intelligence can be used to reduce the tedious and manual aspects of software development and testing, and automate the whole process. What Is Automation Testing? Automation testing is the software testing process of running test cases by using automated testing tools. With this type of testing, QA teams can perform tests faster, receive more accurate results and address code defects sooner.
Evolution in technology continues to make life easier. During the past decade, many surprising accomplishments have been done in the technical world.
QASource Blog, for executives and engineers, shares QA strategies, methodologies, and new ideas to inform and help effectively deliver quality products, websites and applications.
Our bloggers are the test management experts at QASource. They are executives, QA managers, team leads, and testing practitioners. Their combined experience exceeds 100 years and they know how to optimize QA efforts in a variety of industries, domains, tools, and technologies.