• Vijaya Katha
• AnnuBala

Since automation testing greatly increases productivity, lowers human error, and improves testing accuracy, it has become a crucial component of contemporary software development. Automation testing optimization has advanced significantly over the past seven years, with an emphasis on improving testing procedures' efficacy and allocating resources as efficiently as possible. An extensive analysis of current methods and developments in automation testing optimization is given in this paper. The review outlines the development of automation testing techniques, looks into cutting-edge optimization techniques, finds datasets frequently used in studies, and talks about the new trends influencing automation testing going forward. The most successful strategies in the most recent research are determined by presenting a comparative analysis of different optimization models and their performance. The study explores areas for possible innovation and improvement in the paper's conclusion, offering insights into the future of automation testing optimization.

AI, test suite minimization, resource optimization, software testing, parallel test execution, test automation, and optimization

"Advancements in Automation Testing Optimization: A Comprehensive Review of Recent Techniques and Trends", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.a966-a977, July-2025, Available :http://www.jetir.org/papers/JETIR2507100.pdf

"Advancements in Automation Testing Optimization: A Comprehensive Review of Recent Techniques and Trends", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. ppa966-a977, July-2025, Available at : http://www.jetir.org/papers/JETIR2507100.pdf