Abstract
When developers gain thorough understanding and knowledge of software security, they can produce more secure software. This study aims at empirically identifying and understanding the security issues posted on a random sample of GitHub repositories. We tried to understand the presence of security issues and their key themes and topics. We applied a mixed-methods approach, combining topic modeling techniques and qualitative analysis. Our findings have revealed that a) the rate of security-related issues was rather small (approx. 3% of all issues), b) the majority of the security issues were related to identity management and cryptography topics. We present 7 high-level themes of problems that developers face in implementing security features.
Original language | English |
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Title of host publication | Hawaii International Conference on System Sciences (HICSS) |
Number of pages | 10 |
Place of Publication | Hawaii, Manoa |
Publication date | 2018 |
Pages | 5504-5513 |
ISBN (Print) | 978-0-9981331-1-9 |
Publication status | Published - 2018 |
Keywords
- Software Security
- Empirical Software Engineering
- GitHub
- Repository Mining
- Topic Modeling
- qualitative research