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"A taxonomy for mining and classifying privacy requirements in issue re" by Pattaraporn Sangaroonsilp, Hoa Khanh Dam et al.

Context: Digital and physical trails of user activities are collected over the use of software applications and systems. As software becomes ubiquitous, protecting user privacy has become challenging. With the increase of user privacy awareness and advent of privacy regulations and policies, there is an emerging need to implement software systems that enhance the protection of personal data processing. However, existing data protection and privacy regulations provide key principles in high-level, making it difficult for software engineers to design and implement privacy-aware systems. Objective: In this paper, we develop a taxonomy that provides a comprehensive set of privacy requirements based on four well-established personal data protection regulations and privacy frameworks, the General Data Protection Regulation (GDPR), ISO/IEC 29100, Thailand Personal Data Protection Act (Thailand PDPA) and Asia-Pacific Economic Cooperation (APEC) privacy framework. Methods: These requirements ar ....

General Data Protection Regulation , Thailand Personal Data Protection Act , Asia Pacific Economic Cooperation , Google Chrome , Ata Protection Regulations And Privacy Frameworks , So Iec 29100 , Mining Software Repositories , Privacy Compliance , Rivacy Requirements Engineering , Rivacy Taxonomy , Software Issues , Thailand Pdpa ,