Page 10 - Bidirectional Encoder Representations News Today : Breaking News, Live Updates & Top Stories | Vimarsana

The recent advent of data protection laws and regulations has emerged to protect privacy and personal information of individuals. As the cases of privacy breaches and vulnerabilities are rapidly increasing, people are aware and more concerned about their privacy. These bring a significant attention to software development teams to address privacy concerns in developing software applications. As today’s software development adopts an agile, issue-driven approach, issues in an issue tracking system become a centralised pool that gathers new requirements, requests for modification and all the tasks of the software project. Hence, establishing an alignment between those issues and privacy requirements is an important step in developing privacy-aware software systems. This alignment also facilitates privacy compliance checking which may be required as an underlying part of regulations for organisations. However, manually establishing those alignments is labour intensive and time consuming

Convolutional neural networkN gram inverse document frequencyTerm frequency inverse documentBidirectional encoder representationsGoogle chromeDeep learning modelsIssue reportsSsues classificationMachine learningNatural language processingRivacy issues classification