An empirical study of developers’ discussions about security challenges of different programming languages
Author:
Funder
Cyber Security Cooperative Research Centre
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10664-021-10054-w.pdf
Reference84 articles.
1. Acar Y, Backes M, Fahl S, Kim D, Mazurek ML, Stransky C (2016) You get where you’re looking for: The impact of information sources on code security. In: 2016 IEEE symposium on security and privacy (SP). pp 289–305
2. Agrawal A, Fu W, Menzies T (2018) What is wrong with topic modeling? and how to fix it using search-based software engineering. Inf Softw Technol 98:74–88
3. Ahmad A, Feng C, Ge S, Yousif A (2017) A survey on mining stack overflow: Question and answering (q&a) community. Data Technol Appl 52:190–247
4. Ahmed S, Bagherzadeh M (2018) What do concurrency developers ask about? a large-scale study using stack overflow. In: Proceedings of the 12th ACM/IEEE international symposium on empirical software engineering and measurement. pp 1–10
5. Allamanis M, Sutton C (2013) Why, when, and what: analyzing stack overflow questions by topic, type, and code. In: 2013 10th working conference on mining software repositories (MSR). IEEE, pp 53–56
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