Search Results - "programming language processing"

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

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

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

Subject Terms: 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)

Access URL: http://arxiv.org/abs/2202.12481

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines

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

Source: Lecture Notes in Computer Science ISBN: 9783031368882

Subject Terms: 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)

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

Programming Language Processing (Dagstuhl Seminar 23062)

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

Index Terms: 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)

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

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

Subject Terms: ML4SE, Neural Software Analysis, ML4PL, ddc:004

File Description: application/pdf

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

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines

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

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

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

PLP 2021: Workshop on Programming Language Processing

Authors: David Lo Chang Xu Siqi Ma

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

Access 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?

Authors: Baishakhi Ray

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Yet another meta-language for programming language processing

Authors: Haiming Chen Yunmei Dong

Source: ACM SIGPLAN Notices. 37:28-37

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access 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

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

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

Subject Terms: 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)

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

Convolutional Neural Networks over Tree Structures for Programming Language Processing

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

Index Terms: 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

Authors: Uri Alon

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

Availability: 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.

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

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

Yet Another Meta-Language for Programming Language Processing*

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

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

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

File Description: application/pdf

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

Availability: 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

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

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

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

Subject Terms: 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

Availability: 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

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

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

Source: 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 : ⟩.

Subject Terms: 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

Availability: 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

Authors: Pei, Xiaohuan

Subject Terms: Deep Learning, Contrastive Pre-Training, Programming Language Processing

File Description: application/pdf

Access URL: https://hdl.handle.net/2123/31456

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

Authors: Maurel, Héloïse STAR, ABES

Contributors: Maurel, Héloïse STAR, ABES

Subject Terms: [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]

File Description: application/pdf

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

Problem klasifikacije programskog koda ; Source Code Classification Problem

Authors: Patajac, Matija Matijević, Domagoj

Contributors: Patajac, Matija Matijević, Domagoj

Subject Terms: 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

File Description: 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

Availability: 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

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

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

Subject Terms: 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

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