Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines

Authors: Flynn, Patrick, Vanderbruggen, Tristan, Liao, Chunhua, Lin, Pei-Hung, Emani, Murali, Shen, Xipeng

Subject Terms: Computer Science - Machine Learning, Computer Science - Programming Languages

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

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

Authors: Long, Ting, Xie, Yutong, Chen, Xianyu, Zhang, Weinan, Cao, Qinxiang, Yu, Yong

Subject Terms: Computer Science - Machine Learning, Computer Science - Programming Languages, Computer Science - Software Engineering

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

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

Authors: Ting Long, Yutong Xie 0007, Xianyu Chen, Weinan Zhang 0001, Qinxiang Cao, Yong Yu 0001

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
https://arxiv.org/abs/2202.12481

Programming Language Processing : How AI can Revolutionize Software Development?

Authors: Ray, Baishakhi

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

Availability: http://dl.acm.org/doi/10.1145/3578527.3581766

Programming Language Processing (Dagstuhl Seminar 23062)

Authors: Pradel, Michael, Ray, Baishakhi, Sutton, Charles, Yahav, Eran

Contributors: Michael Pradel and Baishakhi Ray and Charles Sutton and Eran Yahav

Source: Dagstuhl Reports. 13:20-32

Subject Terms: ML4SE, Neural Software Analysis, ML4PL

File Description: application/pdf

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

PLP 2021: Workshop on Programming Language Processing

Authors: Xu, Chang, Ma, Siqi, Lo, David

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

Availability: http://dl.acm.org/doi/10.1145/3447548.3469460

Yet another meta-language for programming language processing

Authors: Chen, Haiming, Dong, Yunmei

Source: ACM SIGPLAN Notices. 37(6):28-37

Availability: http://dl.acm.org/doi/10.1145/571727.571733

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines

Authors: Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen

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, Sutton, Charles, Yahav, Eran

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)

Convolutional Neural Networks over Tree Structures for Programming Language Processing

Authors: Mou, Lili, Li, Ge, Zhang, Lu, Wang, Tao, Jin, Zhi

Subject Terms: Computer Science - Learning, Computer Science - Neural and Evolutionary Computing, Computer Science - Software Engineering

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

LLM & HPC: Benchmarking DeepSeek’s Performance in High-Performance Computing Tasks

Authors: Nader, Noujoud^Aff11, Diehl, Patrick^{Aff11, Aff12}, Brandt, Steve^Aff11, Kaiser, Hartmut^Aff11

Contributors: Goos, Gerhard, Founding Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Neuwirth, Sarah, editor^Aff7, Paul, Arnab Kumar, editor^Aff8, Weinzierl, Tobias, editor^Aff9, Carson, Erin Claire, editor^Aff10

Source: High Performance Computing : ISC High Performance 2025 International Workshops, Hamburg, Germany, June 10–13, 2025, Revised Selected Papers. 16091:626-638

Batwing Compiler: An Artificial Intelligence based Compiler

Authors: Harshithan, K S

Source: 2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC) Advances in Computational Intelligence and Communication (ICACIC), 2023 Second International Conference on. :1-5 Dec, 2023

Relation: 2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC)

Convolutional Neural Networks over Tree Structures for Programming Language Processing

Authors: Lili Mou, Ge Li 0001, Lu Zhang 0023, Tao Wang 0080, Zhi Jin 0001

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

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

Authors: Tang, Yijia^Aff1, Yu, YaoShen^{Aff2, Aff4}, Huang, Zhiqiu^{Aff1, Aff2, Aff3, IDs11280025013953_cor1}, Xia, Bowei^Aff1, Cao, Yukun^Aff5

Source: World Wide Web: Internet and Web Information Systems. 29(1)

Grace: Language Models Meet Code Edits

Authors: Gupta, Priyanshu, Khare, Avishree, Bajpai, Yasharth, Chakraborty, Saikat, Gulwani, Sumit, Kanade, Aditya, Radhakrishna, Arjun, Soares, Gustavo, Tiwari, Ashish

Source: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :1483-1495

Availability: http://dl.acm.org/doi/10.1145/3611643.3616253

Contrastive Code-Comment Pre-training

Authors: Pei, Xiaohuan, Liu, Daochang, Qian, Luo, Xu, Chang

Source: 2022 IEEE International Conference on Data Mining (ICDM) ICDM Data Mining (ICDM), 2022 IEEE International Conference on. :398-407 Nov, 2022

Relation: 2022 IEEE International Conference on Data Mining (ICDM)

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

Automatic Release Notes Generation: A Systematic Literature Review

Authors: Ali, Mubashir, Tarar, M. Irtaza Nawaz, Butt, Wasi Haider

Source: 2020 IEEE 23rd International Multitopic Conference (INMIC) Multitopic Conference (INMIC), 2020 IEEE 23rd International. :1-5 Nov, 2020

Relation: 2020 IEEE 23rd International Multitopic Conference (INMIC)

Automatic Release Notes Generation

Authors: Ali, Mubashir, Aftab, Asad, Buttt, Wasi Haider

Source: 2020 IEEE 11th International Conference on Software Engineering and Service Science (ICSESS) Software Engineering and Service Science (ICSESS), 2020 IEEE 11th International Conference on. :76-81 Oct, 2020

Relation: 2020 IEEE 11th International Conference on Software Engineering and Service Science (ICSESS)

TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing

Authors: Lili Mou, Ge Li 0001, Zhi Jin 0001, Lu Zhang 0023, Tao Wang 0080

Source: CoRR.

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