Suchergebnisse - "Programming language processing"

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection

Autoren: Long, Ting Xie, Yutong Chen, Xianyu et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence. 36:5792-5799

Schlagwörter: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Software Engineering, Computer Science - Programming Languages, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG), Programming Languages (cs.PL)

Zugangs-URL: http://arxiv.org/abs/2202.12481

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines

Autoren: Flynn, Patrick Vanderbruggen, Tristan Liao, Chunhua et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783031368882

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Programming Languages, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG), Programming Languages (cs.PL)

Zugangs-URL: http://arxiv.org/abs/2208.05596

Programming Language Processing (Dagstuhl Seminar 23062)

Autoren: Michael Pradel and Baishakhi Ray and Charles Sutton and Eran Yahav Pradel, Michael Ray, Baishakhi et al.

Index Begriffe: ML4PL, ML4SE, Neural Software Analysis, Article, Text, doc-type:ResearchArticle, publishedVersion

URL: https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.2.20
Is Part Of Dagstuhl Reports, Volume 13, Issue 2 (2023)

Programming Language Processing (Dagstuhl Seminar 23062)

Autoren: Pradel, Michael Ray, Baishakhi Sutton, Charles et al.

Weitere Verfasser: Pradel, Michael Ray, Baishakhi Sutton, Charles et al.

Schlagwörter: ML4SE, Neural Software Analysis, ML4PL, ddc:004

Dateibeschreibung: application/pdf

Zugangs-URL: https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.2.20

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines

Autoren: Flynn, Patrick Vanderbruggen, Tristan Liao, Chunhua et al.

Index Begriffe: Computer Science - Machine Learning, Computer Science - Programming Languages, text

URL: http://arxiv.org/abs/2208.05596

PLP 2021: Workshop on Programming Language Processing

Autoren: David Lo Chang Xu Siqi Ma

Quelle: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. :4171-4172

Zugangs-URL: https://dblp.uni-trier.de/db/conf/kdd/kdd2021.html#XuM021
https://dl.acm.org/doi/pdf/10.1145/3447548.3469460

Programming Language Processing : How AI can Revolutionize Software Development?

Autoren: Baishakhi Ray

Quelle: 16th Innovations in Software Engineering Conference. :1-1

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Yet another meta-language for programming language processing

Autoren: Haiming Chen Yunmei Dong

Quelle: ACM SIGPLAN Notices. 37:28-37

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/journals/sigplan/sigplan37.html#ChenD02
https://dl.acm.org/doi/10.1145/571727.571733
http://ir.iscas.ac.cn/handle/311060/2857
https://core.ac.uk/display/143691004
https://doi.org/10.1145/571727.571733

Convolutional Neural Networks over Tree Structures for Programming Language Processing

Autoren: Mou, Lili Li, Ge Zhang, Lu et al.

Quelle: Proceedings of the AAAI Conference on Artificial Intelligence. 30

Schlagwörter: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Software Engineering, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, 02 engineering and technology, Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/1409.5718

Convolutional Neural Networks over Tree Structures for Programming Language Processing

Autoren: Mou, Lili Li, Ge Zhang, Lu et al.

Index Begriffe: Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Computer Science - Software Engineering, text

URL: http://arxiv.org/abs/1409.5718

Machine Learning for Programming Language Processing

Autoren: Uri Alon

Relation: https://zenodo.org/records/6730561; oai:zenodo.org:6730561; https://doi.org/10.5281/zenodo.6730561

Verfügbarkeit: https://doi.org/10.5281/zenodo.6730561
https://zenodo.org/records/6730561

P2N2S: Bridging the gap between natural and programming languages for code summarization via large language models.

Autoren: Tang, Yijia Yu, YaoShen Huang, Zhiqiu et al.

Quelle: World Wide Web. Feb2026, Vol. 29 Issue 1, p1-25. 25p.

Yet Another Meta-Language for Programming Language Processing*

Autoren: Haiming Chen Yunmei Dong The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Haiming Chen Yunmei Dong The Pennsylvania State University CiteSeerX Archives

Quelle: http://lcs.ios.ac.cn/~chm/papers/p28-chen.pdf.

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.7998

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.7998
http://lcs.ios.ac.cn/~chm/papers/p28-chen.pdf

PROGRAMMING LANGUAGE PROCESSING PROGRAM, PROGRAMMING LANGUAGE PROCESSING DEVICE, AND PROGRAMMING LANGUAGE PROCESSING METHOD

Deep learning applied on Web security : statically identifying Web vulnerabilities using deep learning ; Apprentissage en profondeur appliqué à la sécurité du Web : identifier statiquement des vulnérabilités Web en utilisant des algorithmes d’apprentissage profond

Autoren: Maurel, Héloïse Secure Diffuse Programming (INDES) Centre Inria d'Université Côte d'Azur et al.

Weitere Verfasser: Maurel, Héloïse Secure Diffuse Programming (INDES) Centre Inria d'Université Côte d'Azur et al.

Quelle: https://theses.hal.science/tel-04025922 ; Artificial Intelligence [cs.AI]. Université Côte d'Azur, 2022. English. ⟨NNT : 2022COAZ4059⟩.

Schlagwörter: Web application, Web language programming, Data base, Programming language processing, Cross-Site Scripting (XSS), Code injection, Vulnerabilities detection, Deep learning, Natural language processing, Web security, Application Web, Langage de programmation Web, Base de données, Traitement automatique des langages de programmation, Traitement automatique du langage naturel, Injection de code, Faille de sécurité Web, Apprentissage en profondeur, Sécurité du Web, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-WB]Computer Science [cs]/Web

Relation: NNT: 2022COAZ4059

Verfügbarkeit: https://theses.hal.science/tel-04025922
https://theses.hal.science/tel-04025922v3/document
https://theses.hal.science/tel-04025922v3/file/2022COAZ4059.pdf

Deep learning applied on Web security ; Apprentissage en profondeur appliqué à la sécurité du Web ; Deep learning applied on Web security: Statically Identifying Web vulnerabilities using Deep Learning ; Apprentissage en profondeur appliqué à la sécurité du Web: Identifié statiquement des vulnérabilités Web en utilisant des algorithmes d'apprentissage profond

Autoren: Maurel, Héloïse Secure Diffuse Programming (INDES) Inria Sophia Antipolis - Méditerranée (CRISAM) et al.

Weitere Verfasser: Maurel, Héloïse Secure Diffuse Programming (INDES) Inria Sophia Antipolis - Méditerranée (CRISAM) et al.

Quelle: https://hal.inria.fr/tel-03849284 ; Computer Science [cs]. INRIA : Institut national de recherche en sciences et technologies du numérique; Université Cote d'Azur, 2022. English. ⟨NNT : ⟩.

Schlagwörter: Web Application Security, Web Security, Web Applications, Server-side processing, Vulnerabilities detection, Deep learning DL, Artificial Inteligence AI, Machine Learning, Programming Language Processing PLP, Natural Language Processing NLP, Code Injection, XSS, Cross-Site Scripting, Databases and Data Security, Database benchmarks, Web language programming, Sécurité du Web, Apprentissage en profondeur, Faille de sécurité Web, Injection de code, Traitement automatique du langage naturel, Traitement automatique des langages de programmation, Base de données, Langage de programmation Web, Application Web, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]

Relation: tel-03849284; https://hal.inria.fr/tel-03849284; https://hal.inria.fr/tel-03849284v2/document; https://hal.inria.fr/tel-03849284v2/file/MAUREL_Thesis.pdf

Verfügbarkeit: https://hal.inria.fr/tel-03849284
https://hal.inria.fr/tel-03849284v2/document
https://hal.inria.fr/tel-03849284v2/file/MAUREL_Thesis.pdf

Symmetric Contrastive Learning On Programming Languages

Autoren: Pei, Xiaohuan

Schlagwörter: Deep Learning, Contrastive Pre-Training, Programming Language Processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/2123/31456

Deep learning applied on Web security : statically identifying Web vulnerabilities using deep learning

Autoren: Maurel, Héloïse STAR, ABES

Weitere Verfasser: Maurel, Héloïse STAR, ABES

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Data base, [INFO.INFO-WB] Computer Science [cs]/Web, Injection de code, Natural language processing, Web language programming, Langage de programmation Web, Code injection, Application Web, Apprentissage en profondeur, Deep learning, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Cross-Site Scripting (XSS), Programming language processing, Faille de sécurité Web, Sécurité du Web, Traitement automatique du langage naturel, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Vulnerabilities detection, Base de données, Web application, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], Traitement automatique des langages de programmation, Web security, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

Dateibeschreibung: application/pdf

Zugangs-URL: https://theses.hal.science/tel-04025922v3

Problem klasifikacije programskog koda ; Source Code Classification Problem

Autoren: Patajac, Matija Matijević, Domagoj

Weitere Verfasser: Patajac, Matija Matijević, Domagoj

Schlagwörter: PRIRODNE ZNANOSTI. Matematika. Matematička logika i računarstvo, NATURAL SCIENCES. Mathematics. Mathematical Logic and Accounting, programski kod, obrada programskog jezika, neuronske mreže, LSTM, vektorizacija, attention mehanizam, POJ-104, Source code, programming language processing, neural networks, embedding, attention mechanism

Dateibeschreibung: application/pdf

Relation: https://repozitorij.unios.hr/islandora/object/mathos:598; https://urn.nsk.hr/urn:nbn:hr:126:228108; https://repozitorij.unios.hr/islandora/object/mathos:598/datastream/PDF

Verfügbarkeit: https://repozitorij.unios.hr/islandora/object/mathos:598
https://urn.nsk.hr/urn:nbn:hr:126:228108
https://repozitorij.unios.hr/islandora/object/mathos:598/datastream/PDF

Apprentissage en profondeur appliqué à la sécurité du Web : identifier statiquement des vulnérabilités Web en utilisant des algorithmes d’apprentissage profond ; Deep learning applied on Web security : statically identifying Web vulnerabilities using deep learning

Autoren: Maurel, Héloïse Université Côte d'Azur Rezk, Tamara

Weitere Verfasser: Maurel, Héloïse Université Côte d'Azur Rezk, Tamara

Schlagwörter: Sécurité du Web, Apprentissage en profondeur, Faille de sécurité Web, Injection de code, Cross-Site Scripting (XSS), Traitement automatique du langage naturel, Traitement automatique des langages de programmation, Base de données, Langage de programmation Web, Application Web, Web security, Deep learning, Vulnerabilities detection, Code injection, Natural language processing, Programming language processing, Data base, Web language programming, Web application

Relation: http://www.theses.fr/2022COAZ4059/document

Verfügbarkeit: http://www.theses.fr/2022COAZ4059/document