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Sonnekalb, Tim (2022) Deep Security Analysis of Program Code - A Systematic Literature Review. International Conference on Program Comprehension (ICPC 2022), 16.-17.Mai 2022, online.
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| Item URL in elib: | https://elib.dlr.de/187722/ | ||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||
| Title: | Deep Security Analysis of Program Code - A Systematic Literature Review | ||||||
| Authors: |
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| Date: | 16 May 2022 | ||||||
| Refereed publication: | No | ||||||
| Open Access: | Yes | ||||||
| Gold Open Access: | No | ||||||
| In SCOPUS: | No | ||||||
| In ISI Web of Science: | No | ||||||
| Status: | Published | ||||||
| Keywords: | machine learning on code, vulnerability detection, deep learning | ||||||
| Event Title: | International Conference on Program Comprehension (ICPC 2022) | ||||||
| Event Location: | online | ||||||
| Event Type: | international Conference | ||||||
| Event Dates: | 16.-17.Mai 2022 | ||||||
| Organizer: | IEEE/ACM | ||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||
| HGF - Program: | Space | ||||||
| HGF - Program Themes: | Space System Technology | ||||||
| DLR - Research area: | Raumfahrt | ||||||
| DLR - Program: | R SY - Space System Technology | ||||||
| DLR - Research theme (Project): | R - Intelligent analysis and methods for safe software development | ||||||
| Location: | Jena | ||||||
| Institutes and Institutions: | Institute of Data Science > Secure Digital Systems Institute of Data Science > IT-Security | ||||||
| Deposited By: | Sonnekalb, Tim | ||||||
| Deposited On: | 11 Aug 2022 09:20 | ||||||
| Last Modified: | 11 Aug 2022 09:20 |
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