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Author/Affiliation: Ibrahim AlagozOpen AccessArticle
17 Pages, 921 KB 
Improving System Reliability Assessment of Safety-Critical Systems using Machine Learning Optimization Techniques
Abstract:
Quality assurance of modern-day safety-critical systems is continually facing new challenges with the increase in both the level of functionality they provide and their degree of interaction with their environment. We propose a novel selection method for black-box regression testing on the basis of machine learning techniques for increasing testing efficiency. Risk-aware selection decisions are…
Read More(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Software Engineering in Computer Science (CSE))