Abstract : Software reliability is a critical quality attribute in modern software systems, particularly as applications become more complex and widely distributed. Automated testing has emerged as an essential practice in software engineering to enhance the efficiency, accuracy, and consistency of testing processes. This research paper examines the impact of automated testing on software reliability by reviewing existing literature from 2013 to 2025. The study analyzes how automated testing improves defect detection, increases test coverage, reduces human error, and accelerates development cycles. Through an extensive literature review, the research identifies trends, benefits, and challenges associated with implementing automated testing frameworks. The analysis reveals that automated testing significantly contributes to software reliability by enabling early detection of defects, supporting continuous integration practices, and maintaining consistent validation across multiple development iterations. Furthermore, the study highlights research gaps related to test maintenance costs, scalability, and integration with emerging technologies such as artificial intelligence. The findings suggest that organizations adopting automated testing strategies can achieve improved software reliability, faster release cycles, and enhanced user satisfaction. However, successful implementation requires careful planning, tool selection, and maintenance strategies. The paper concludes with recommendations for improving automated testing practices to ensure reliable and high-quality software systems.
Cite : Rana, S. (2026). The Impact Of Automated Testing On Software Reliability (1st ed., pp. 163-169). Noble Science Press. https://noblesciencepress.org/chapter/nspebeparddias2026ch-18
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