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Preventing software security vulnerabilities with automation
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A team of UTSA researchers is exploring how a new automated approach could prevent software security vulnerabilities. The team sought to develop a deep learning model that could teach software how to extract security policies automatically. Unlike traditional software models, the agile software development process is meant to produce software at a faster pace, eliminating the need to spend time on comprehensive documents and changing software requirements. User stories, the specifications that define the software’s … More →
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