Automation in Quality Assurance: Tools and Techniques for Modern IT

Abstract

Software engineering has changed dramatically as automation testing has emerged as a key component of contemporary software development. In addition to increasing the software development process's efficiency, the quick development of automation technologies has also greatly raised the calibre of the finished output. The inefficiency, human error, and scalability problems of traditional QA methods—which are typified by manual testing and late-stage involvement—are made worse by the quick speed of contemporary software development. By contrasting automated and human QA procedures, this research seeks to analyse how automation affects QA testing. Understanding the effects of this shift on the quality assurance field is essential as businesses continue to integrate automation into their software development processes. This work attempts to provide a thorough evaluation of the benefits, drawbacks, and qualifications of automated and human quality assurance testing in light of top-to-bottom experimental exploration. It also explores how QA professionals' duties are evolving in the age of automation, emphasizing the need of learning new skills and being flexible. This study contributes to the current conversation around QA testing in the digital age and offers insightful information to businesses trying to enhance their QA procedures. The results of this research highlight the significance of putting in place a balanced approach that incorporates the advantages of both human and automated QA testing in order to deliver comprehensive software quality assurance.