学术文献库

Software security is undoubtedly a major concern in today's software engineering. Although the level of awareness of security issues is often high, practical experiences show that neither preventive actions nor reactions to possible issues are always addressed properly in reality. By analyzing large quantities of commits in the open-source communities, we can categorize the vulnerabilities mitigated by the developers and study their distribution, resolution time, etc. to learn and improve security management processes and practices. With the help of the Software Heritage Graph Dataset, we investigated the commits of two of the most popular script languages -- Python and JavaScript -- projects collected from public repositories and identified those that mitigate a certain vulnerability in the code (i.e. vulnerability resolution commits). On the one hand, we identified the types of vulnerabilities (in terms of CWE groups) referred to in commit messages and compared their numbers within the two communities. On the other hand, we examined the average time elapsing between the publish date of a vulnerability and the first reference to it in a commit. We found that there is a large intersection in the vulnerability types mitigated by the two communities, but most prevalent vulnerabilities are specific to language. Moreover, neither the JavaScript nor the Python community reacts very fast to appearing security vulnerabilities in general with only a couple of exceptions for certain CWE groups.