Understanding Privacy-Related Questions on Stack Overflow

要旨

We analyse Stack Overflow (SO) to understand challenges and confusions developers face while dealing with privacy-related topics. We apply topic modelling techniques to 1,733 privacy-related questions to identify topics and then qualitatively analyse a random sample of 315 privacy-related questions. Identified topics include privacy policies, privacy concerns, access control, and version changes. Results show that developers do ask SO for support on privacy-related issues. We also find that platforms such as Apple and Google are defining privacy requirements for developers by specifying what "sensitive" information is and what types of information developers need to communicate to users (e.g. privacy policies). We also examine the accepted answers in our sample and find that 28% of them link to official documentation and more than half are answered by SO users without references to any external resources.

キーワード
Software Developers
Usable Privacy
Stack Overflow
著者
Mohammad Tahaei
University of Edinburgh, Edinburgh, United Kingdom
Kami Vaniea
University of Edinburgh, Edinburgh, United Kingdom
Naomi Saphra
University of Edinburgh, Edinburgh, United Kingdom
DOI

10.1145/3313831.3376768

論文URL

https://doi.org/10.1145/3313831.3376768

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Developers, security & privacy

Paper session
313B O'AHU
4 件の発表
2020-04-30 23:00:00
2020-05-01 00:15:00
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