Mobile Application Privacy Risk Assessments from User-authored Scenarios
Author:
Affiliation:
1. School of Computer Science, Carnegie Mellon University,Pittsburgh,Pennsylvania,United States
2. University of Texas at San Antonio,Department of Computer Science,San Antonio,Texas,United States
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10260705/10260715/10260916.pdf?arnumber=10260916
Reference88 articles.
1. Inquiry-based requirements analysis
2. Empirical Measurement of Perceived Privacy Risk
3. Feature Location Using Probabilistic Ranking of Methods Based on Execution Scenarios and Information Retrieval
4. Towards an information type lexicon for privacy policies
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