AUGMENTED SOFTWARE TESTING TO IMPROVE QUALITY PRODUCT DELIVERY AND REVOLUTIONIZE QA PROCESS

The quick advancement of technology in software development enables industries to need superior products that deliver superior user experiences combined with optimal functionality.Advanced technology solutions led to the creation of augmented software testing as a transformative approach by utilizing artificial intelligence (AI), machine learning (ML) along with automation standards.stream software testing provides substantial quality criteria retention throughout its accelerated software development lifecycle by employing traditional manual testing alongside automated task repetition.This advancement enhances operational speed while enabling earlier identification of software errors to decrease the development expenses.The reliability and performance of products depend heavily on software testing operations performed before commercial release.The evidencebased testing methods show effectiveness but need modification because modern applications present complex environments and fast-paced delivery conditions.This traditional testing framework including manual testing shows multiple drawbacks since it takes too much time and causes errors while failing to detect all fault conditions.The introduction of intelligent automated tools through augmented software testing solves these issues by using automated user simulations to analyze extensive data which produces predictive failure examinations.AI technology uses test case predictive analytics and analytical methods to forecast locations of defects in order to improve both the efficiency and the intelligence of testing procedures.