This research evaluates cloud computing and automation impacts on software engineering, suggesting improvements and addressing challenges.
This research explores how cloud technologies and mechanization are revolutionizing contemporary software engineering and examining practices. It evaluates the unification of cloud computing into advanced workflows, underscoring advancements in partnership, scalability, and implementation efficiency. The study additionally analyzes the role of automation in improving evaluation accuracy and speed, specifically through CI/CD pipelines and cloud-based testing contexts. Key obstacles such as tool merging, security worries, and technical skill gaps are recognized as critical obstacles in embracing cloud-based solutions. Additionally, the research showcases emerging trends encompassing AI-driven test automation, Infrastructure-as-Code (IaC), and DevSecOps, which are restructuring the future of software engineering. By evaluating current practices and innovations, this study delivers insights into enhancing software development life cycles using cloud and automation technologies, eventually aiming to assist in faster, more reliable, and scalable engineering outcomes. The findings add valuable recommendations for organizations seeking to revise their engineering operations in line with industry progression.
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S.S. Venkata (2025) studied this question.
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