
Current work on automatic program repair has not focused on actually prevalent vulnerabilities in web applications, such as described in the OWASP Top 10 categories, leading to a scarcely explored field, which in turn leads to a gap between industry needs and research efforts. In order to assess the extent of this gap, we have surveyed and analyzed the literature on fully automatic source-code manipulating program repair of OWASP Top 10 vulnerabilities, as well as their corresponding test suites. We find that there is a significant gap in the coverage of the OWASP Top 10 vulnerabilities, and that the test suites used to test the analyzed approaches are highly inadequate. Few approaches cover multiple OWASP Top 10 vulnerabilities, and there is no combination of existing test suites that achieves a total coverage of OWASP Top 10.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
