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Deep Security Analysis of Program Code - A Systematic Literature Review

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/
Document Type:Conference or Workshop Item (Speech)
Title:Deep Security Analysis of Program Code - A Systematic Literature Review
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Sonnekalb, TimTim.Sonnekalb (at) dlr.dehttps://orcid.org/0000-0002-0067-1790
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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