Matches in SemOpenAlex for { <https://semopenalex.org/work/W3209432242> ?p ?o ?g. }
- W3209432242 abstract "Abstract Due to the continuous digitalization of our society, distributed and web-based applications become omnipresent and making them more secure gains paramount relevance. Deep learning (DL) and its representation learning approach are increasingly been proposed for program code analysis potentially providing a powerful means in making software systems less vulnerable. This systematic literature review (SLR) is aiming for a thorough analysis and comparison of 32 primary studies on DL-based vulnerability analysis of program code. We found a rich variety of proposed analysis approaches, code embeddings and network topologies. We discuss these techniques and alternatives in detail. By compiling commonalities and differences in the approaches, we identify the current state of research in this area and discuss future directions. We also provide an overview of publicly available datasets in order to foster a stronger benchmarking of approaches. This SLR provides an overview and starting point for researchers interested in deep vulnerability analysis on program code." @default.
- W3209432242 created "2021-11-08" @default.
- W3209432242 creator A5032106490 @default.
- W3209432242 creator A5063243817 @default.
- W3209432242 creator A5071262516 @default.
- W3209432242 date "2021-10-21" @default.
- W3209432242 modified "2023-10-10" @default.
- W3209432242 title "Deep security analysis of program code" @default.
- W3209432242 cites W1997236144 @default.
- W3209432242 cites W2025411198 @default.
- W3209432242 cites W2045909525 @default.
- W3209432242 cites W2064675550 @default.
- W3209432242 cites W2067148378 @default.
- W3209432242 cites W2112364454 @default.
- W3209432242 cites W2128084896 @default.
- W3209432242 cites W2140952846 @default.
- W3209432242 cites W2141736632 @default.
- W3209432242 cites W2157331557 @default.
- W3209432242 cites W2158698691 @default.
- W3209432242 cites W2250539671 @default.
- W3209432242 cites W2256679588 @default.
- W3209432242 cites W2490420619 @default.
- W3209432242 cites W2493916176 @default.
- W3209432242 cites W2514084604 @default.
- W3209432242 cites W2532962075 @default.
- W3209432242 cites W2593765440 @default.
- W3209432242 cites W2748690817 @default.
- W3209432242 cites W2762844179 @default.
- W3209432242 cites W2765858138 @default.
- W3209432242 cites W2792716682 @default.
- W3209432242 cites W2794873039 @default.
- W3209432242 cites W2796200341 @default.
- W3209432242 cites W2884642766 @default.
- W3209432242 cites W2899384793 @default.
- W3209432242 cites W2900633536 @default.
- W3209432242 cites W2900694037 @default.
- W3209432242 cites W2919115771 @default.
- W3209432242 cites W2929803724 @default.
- W3209432242 cites W2962858109 @default.
- W3209432242 cites W2962960733 @default.
- W3209432242 cites W2963424553 @default.
- W3209432242 cites W2963447020 @default.
- W3209432242 cites W2963926786 @default.
- W3209432242 cites W2963935794 @default.
- W3209432242 cites W2964150020 @default.
- W3209432242 cites W2964352358 @default.
- W3209432242 cites W2968179027 @default.
- W3209432242 cites W2981686058 @default.
- W3209432242 cites W2991507433 @default.
- W3209432242 cites W2999309192 @default.
- W3209432242 cites W3033777149 @default.
- W3209432242 cites W3048282123 @default.
- W3209432242 cites W3096425977 @default.
- W3209432242 cites W3101228802 @default.
- W3209432242 cites W3122554042 @default.
- W3209432242 cites W3127736190 @default.
- W3209432242 cites W3146720657 @default.
- W3209432242 cites W397180395 @default.
- W3209432242 cites W4206312123 @default.
- W3209432242 cites W4233410239 @default.
- W3209432242 cites W4246166885 @default.
- W3209432242 cites W4300007223 @default.
- W3209432242 doi "https://doi.org/10.1007/s10664-021-10029-x" @default.
- W3209432242 hasPublicationYear "2021" @default.
- W3209432242 type Work @default.
- W3209432242 sameAs 3209432242 @default.
- W3209432242 citedByCount "7" @default.
- W3209432242 countsByYear W32094322422022 @default.
- W3209432242 countsByYear W32094322422023 @default.
- W3209432242 crossrefType "journal-article" @default.
- W3209432242 hasAuthorship W3209432242A5032106490 @default.
- W3209432242 hasAuthorship W3209432242A5063243817 @default.
- W3209432242 hasAuthorship W3209432242A5071262516 @default.
- W3209432242 hasBestOaLocation W32094322421 @default.
- W3209432242 hasConcept C108583219 @default.
- W3209432242 hasConcept C115903868 @default.
- W3209432242 hasConcept C121957198 @default.
- W3209432242 hasConcept C136197465 @default.
- W3209432242 hasConcept C137287247 @default.
- W3209432242 hasConcept C144133560 @default.
- W3209432242 hasConcept C149091818 @default.
- W3209432242 hasConcept C150292731 @default.
- W3209432242 hasConcept C154945302 @default.
- W3209432242 hasConcept C158154518 @default.
- W3209432242 hasConcept C162853370 @default.
- W3209432242 hasConcept C177264268 @default.
- W3209432242 hasConcept C17744445 @default.
- W3209432242 hasConcept C199360897 @default.
- W3209432242 hasConcept C199539241 @default.
- W3209432242 hasConcept C2522767166 @default.
- W3209432242 hasConcept C2776760102 @default.
- W3209432242 hasConcept C2777561058 @default.
- W3209432242 hasConcept C2777904410 @default.
- W3209432242 hasConcept C38652104 @default.
- W3209432242 hasConcept C41008148 @default.
- W3209432242 hasConcept C43126263 @default.
- W3209432242 hasConcept C529173508 @default.
- W3209432242 hasConcept C86251818 @default.
- W3209432242 hasConcept C95713431 @default.
- W3209432242 hasConceptScore W3209432242C108583219 @default.