Catalyzing Transformational Change in Quality Assurance Through the Strategic Integration of Advanced Automation Technologies
Layla Nasr
Department of Computer Science, University of Tehran
Keywords: Selenium, Appium, Cucumber, REST Assured
Abstract
This paper explores the evolution and impact of advanced automation techniques in Quality Assurance (QA) within software development. Historically, QA has transitioned from manual, developer-led testing in the early days of computing to more structured methodologies such as the Waterfall and Agile models, and recently to sophisticated automated processes integrated with DevOps and CI/CD pipelines. Traditional QA methods, characterized by manual testing and late-stage involvement, face challenges of inefficiency, human error, and scalability issues, which are exacerbated by the rapid pace of modern software development. To address these challenges, the study highlights the adoption of automation tools, particularly those leveraging AI and machine learning, which enhance testing speed, accuracy, and consistency while integrating seamlessly into CI/CD workflows. The paper investigates the benefits of automation, such as reduced manual effort and improved reliability, alongside potential drawbacks like the initial setup complexity and the risk of over-reliance on automated tests. Through a detailed examination of automation in QA, the study aims to provide insights into optimizing QA processes to deliver high-quality software products efficiently and effectively.
Author Biography
Layla Nasr, Department of Computer Science, University of Tehran
