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Survey reveals perceived gains in defect detection and testing efficiency among software professionals, highlighting automation as a vital complement to manual quality assurance.
AbstractSoftware quality assurance (SQA) is an essential part of software development because it ensuresthat software products meet specified requirements, perform reliably, and satisfy userexpectations. Automated testing has become an important technique in SQA because it enablesorganizations to execute repetitive and complex test cases efficiently and consistently. Thisresearch examines the role of automated testing in improving software quality and identifies itsmajor benefits and challenges. The study uses a structured questionnaire to collect responsesfrom 100 software professionals, including software testers, automation testers, developers, QAengineers, and project or QA managers. A five-point Liker scale is used to measure respondents’perceptions of automated testing in areas such as defect detection, regression testing, testingtime, test coverage, software reliability, and overall quality. The findings indicate that 80% ofrespondents believe automated testing improves early defect detection, while 82% reportimprovements in regression testing and reductions in testing time. Furthermore, 78% ofrespondent’s associate automation with increased test coverage and improved softwarereliability, and 80% believe that automated testing significantly contributes to overall softwarequality. However, the study also identifies important challenges, including test maintenance,flaky tests, and initial implementation costs, lack of skilled professionals, test-data management,and unstable testing environments. The research concludes that automated testing is a qualityenabling technology that can strengthen SQA when properly designed, maintained, andintegrated into the development process. It should complement rather than replace human testing,particularly in exploratory, usability, and risk-based testing activities.
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Mr.Sonawane Karan Baburao, Ms.Sonali Karan Sonawane, Dr.Tanuja Vyankatrao Pawar, MS.Yogita Khandre S, Mr.Akash Gangadhar Sirsat (2026) studied this question.
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