Matches in SemOpenAlex for { <https://semopenalex.org/work/W2953021844> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2953021844 abstract "Detecting buffer overruns from a source code is one of the most common and yet challenging tasks in program analysis. Current approaches have mainly relied on rigid rules and handcrafted features devised by a few experts, limiting themselves in terms of flexible applicability and robustness due to diverse bug patterns and characteristics existing in sophisticated real-world software programs. In this paper, we propose a novel, data-driven approach that is completely end-to-end without requiring any hand-crafted features, thus free from any program language-specific structural limitations. In particular, our approach leverages a recently proposed neural network model called memory networks that have shown the state-of-the-art performances mainly in question-answering tasks. Our experimental results using source codes demonstrate that our proposed model is capable of accurately detecting simple buffer overruns. We also present in-depth analyses on how a memory network can learn to understand the semantics in programming languages solely from raw source codes, such as tracing variables of interest, identifying numerical values, and performing their quantitative comparisons." @default.
- W2953021844 created "2019-06-27" @default.
- W2953021844 creator A5015755413 @default.
- W2953021844 creator A5037080086 @default.
- W2953021844 creator A5042036026 @default.
- W2953021844 creator A5047912015 @default.
- W2953021844 date "2017-03-07" @default.
- W2953021844 modified "2023-09-23" @default.
- W2953021844 title "End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks" @default.
- W2953021844 cites W1522301498 @default.
- W2953021844 cites W1525961042 @default.
- W2953021844 cites W1951216520 @default.
- W2953021844 cites W2018389835 @default.
- W2953021844 cites W2025411198 @default.
- W2953021844 cites W2043100293 @default.
- W2953021844 cites W2070041685 @default.
- W2953021844 cites W2108776051 @default.
- W2953021844 cites W2140609933 @default.
- W2953021844 cites W2251939518 @default.
- W2953021844 cites W2280703106 @default.
- W2953021844 cites W2308618763 @default.
- W2953021844 cites W2409591106 @default.
- W2953021844 cites W2563734883 @default.
- W2953021844 cites W2949888546 @default.
- W2953021844 cites W2951008357 @default.
- W2953021844 cites W2964091467 @default.
- W2953021844 cites W2584341106 @default.
- W2953021844 hasPublicationYear "2017" @default.
- W2953021844 type Work @default.
- W2953021844 sameAs 2953021844 @default.
- W2953021844 citedByCount "8" @default.
- W2953021844 countsByYear W29530218442018 @default.
- W2953021844 countsByYear W29530218442019 @default.
- W2953021844 countsByYear W29530218442020 @default.
- W2953021844 countsByYear W29530218442021 @default.
- W2953021844 crossrefType "posted-content" @default.
- W2953021844 hasAuthorship W2953021844A5015755413 @default.
- W2953021844 hasAuthorship W2953021844A5037080086 @default.
- W2953021844 hasAuthorship W2953021844A5042036026 @default.
- W2953021844 hasAuthorship W2953021844A5047912015 @default.
- W2953021844 hasConcept C104317684 @default.
- W2953021844 hasConcept C119857082 @default.
- W2953021844 hasConcept C124101348 @default.
- W2953021844 hasConcept C138673069 @default.
- W2953021844 hasConcept C154945302 @default.
- W2953021844 hasConcept C177264268 @default.
- W2953021844 hasConcept C185592680 @default.
- W2953021844 hasConcept C199360897 @default.
- W2953021844 hasConcept C2776760102 @default.
- W2953021844 hasConcept C2777904410 @default.
- W2953021844 hasConcept C41008148 @default.
- W2953021844 hasConcept C43126263 @default.
- W2953021844 hasConcept C50644808 @default.
- W2953021844 hasConcept C55493867 @default.
- W2953021844 hasConcept C63479239 @default.
- W2953021844 hasConceptScore W2953021844C104317684 @default.
- W2953021844 hasConceptScore W2953021844C119857082 @default.
- W2953021844 hasConceptScore W2953021844C124101348 @default.
- W2953021844 hasConceptScore W2953021844C138673069 @default.
- W2953021844 hasConceptScore W2953021844C154945302 @default.
- W2953021844 hasConceptScore W2953021844C177264268 @default.
- W2953021844 hasConceptScore W2953021844C185592680 @default.
- W2953021844 hasConceptScore W2953021844C199360897 @default.
- W2953021844 hasConceptScore W2953021844C2776760102 @default.
- W2953021844 hasConceptScore W2953021844C2777904410 @default.
- W2953021844 hasConceptScore W2953021844C41008148 @default.
- W2953021844 hasConceptScore W2953021844C43126263 @default.
- W2953021844 hasConceptScore W2953021844C50644808 @default.
- W2953021844 hasConceptScore W2953021844C55493867 @default.
- W2953021844 hasConceptScore W2953021844C63479239 @default.
- W2953021844 hasOpenAccess W2953021844 @default.
- W2953021844 hasRelatedWork W1562474811 @default.
- W2953021844 hasRelatedWork W2043811931 @default.
- W2953021844 hasRelatedWork W2043837581 @default.
- W2953021844 hasRelatedWork W2116357421 @default.
- W2953021844 hasRelatedWork W2142403498 @default.
- W2953021844 hasRelatedWork W2143861926 @default.
- W2953021844 hasRelatedWork W2150240046 @default.
- W2953021844 hasRelatedWork W2156981320 @default.
- W2953021844 hasRelatedWork W2360967250 @default.
- W2953021844 hasRelatedWork W2605202003 @default.
- W2953021844 hasRelatedWork W2793157084 @default.
- W2953021844 hasRelatedWork W2806718802 @default.
- W2953021844 hasRelatedWork W2901461314 @default.
- W2953021844 hasRelatedWork W2963499994 @default.
- W2953021844 hasRelatedWork W2963935794 @default.
- W2953021844 hasRelatedWork W2997451752 @default.
- W2953021844 hasRelatedWork W3014755496 @default.
- W2953021844 hasRelatedWork W3100302719 @default.
- W2953021844 hasRelatedWork W3152579446 @default.
- W2953021844 hasRelatedWork W3207800553 @default.
- W2953021844 isParatext "false" @default.
- W2953021844 isRetracted "false" @default.
- W2953021844 magId "2953021844" @default.
- W2953021844 workType "article" @default.