Assessing the Generalizability of Code2vec Token Embeddings
暂无分享,去创建一个
[1] Cristina V. Lopes,et al. SourcererCC: Scaling Code Clone Detection to Big-Code , 2015, 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE).
[2] Jason Weston,et al. A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.
[3] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[4] Aziz Mohaisen,et al. Large-Scale and Language-Oblivious Code Authorship Identification , 2018, CCS.
[5] Charles A. Sutton,et al. Suggesting accurate method and class names , 2015, ESEC/SIGSOFT FSE.
[6] Uri Alon,et al. A general path-based representation for predicting program properties , 2018, PLDI.
[7] Deborah A. Coughlin,et al. Correlating automated and human assessments of machine translation quality , 2003, MTSUMMIT.
[8] Xiaodong Gu,et al. Deep Code Search , 2018, 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE).
[9] Martin Monperrus,et al. A Literature Study of Embeddings on Source Code , 2019, ArXiv.
[10] Alvin Cheung,et al. Summarizing Source Code using a Neural Attention Model , 2016, ACL.
[11] Uri Alon,et al. code2vec: learning distributed representations of code , 2018, Proc. ACM Program. Lang..
[12] Yulia Tsvetkov,et al. Problems With Evaluation of Word Embeddings Using Word Similarity Tasks , 2016, RepEval@ACL.
[13] Lerina Aversano,et al. An empirical study on the maintenance of source code clones , 2010, Empirical Software Engineering.
[14] Martin White,et al. Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities , 2017, 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER).
[15] Pushmeet Kohli,et al. Semantic Code Repair using Neuro-Symbolic Transformation Networks , 2017, ICLR 2018.
[16] Foutse Khomh,et al. Late propagation in software clones , 2011, 2011 27th IEEE International Conference on Software Maintenance (ICSM).
[17] Chanchal Kumar Roy,et al. Towards a Big Data Curated Benchmark of Inter-project Code Clones , 2014, 2014 IEEE International Conference on Software Maintenance and Evolution.
[18] Xiaodong Gu,et al. Deep API learning , 2016, SIGSOFT FSE.
[19] Mario Linares Vásquez,et al. ChangeScribe: A Tool for Automatically Generating Commit Messages , 2015, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.
[20] Tim Menzies,et al. Easy over hard: a case study on deep learning , 2017, ESEC/SIGSOFT FSE.
[21] Marc Brockschmidt,et al. Learning to Represent Programs with Graphs , 2017, ICLR.
[22] Zhenchang Xing,et al. Neural-Machine-Translation-Based Commit Message Generation: How Far Are We? , 2018, 2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE).
[23] Xiaodong Gu,et al. DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning , 2017, IJCAI.
[24] Tom Van Cutsem,et al. Import2vec: Learning Embeddings for Software Libraries , 2019, 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR).
[25] Koushik Sen,et al. DeepBugs: a learning approach to name-based bug detection , 2018, Proc. ACM Program. Lang..
[26] Nicholas A. Kraft,et al. Exploring the use of deep learning for feature location , 2015, 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME).
[27] Emily Hill,et al. Towards automatically generating summary comments for Java methods , 2010, ASE.
[28] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[29] David Lo,et al. Deep Code Comment Generation , 2018, 2018 IEEE/ACM 26th International Conference on Program Comprehension (ICPC).
[30] Arvind Narayanan,et al. De-anonymizing Programmers via Code Stylometry , 2015, USENIX Security Symposium.
[31] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[32] Collin McMillan,et al. Automatically generating commit messages from diffs using neural machine translation , 2017, 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE).
[33] Yoshua Bengio,et al. Word Representations: A Simple and General Method for Semi-Supervised Learning , 2010, ACL.
[34] Alexander M. Rush,et al. OpenNMT: Open-Source Toolkit for Neural Machine Translation , 2017, ACL.
[35] Premkumar T. Devanbu,et al. Are deep neural networks the best choice for modeling source code? , 2017, ESEC/SIGSOFT FSE.
[36] Le Song,et al. Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection , 2018 .
[37] Premkumar T. Devanbu,et al. On the naturalness of software , 2016, Commun. ACM.
[38] Siau-Cheng Khoo,et al. A discriminative model approach for accurate duplicate bug report retrieval , 2010, 2010 ACM/IEEE 32nd International Conference on Software Engineering.
[39] Shuvendu K. Lahiri,et al. Code vectors: understanding programs through embedded abstracted symbolic traces , 2018, ESEC/SIGSOFT FSE.
[40] Diomidis Spinellis,et al. Semantic Source Code Models Using Identifier Embeddings , 2019, 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR).
[41] Chanchal Kumar Roy,et al. BigCloneEval: A Clone Detection Tool Evaluation Framework with BigCloneBench , 2016, 2016 IEEE International Conference on Software Maintenance and Evolution (ICSME).
[42] Christian Bird,et al. Deep learning type inference , 2018, ESEC/SIGSOFT FSE.
[43] Thorsten Joachims,et al. Evaluation methods for unsupervised word embeddings , 2015, EMNLP.
[44] Efstathios Stamatatos,et al. A survey of modern authorship attribution methods , 2009, J. Assoc. Inf. Sci. Technol..
[45] Leonidas J. Guibas,et al. Learning Program Embeddings to Propagate Feedback on Student Code , 2015, ICML.
[46] Ettore Merlo,et al. Experiment on the automatic detection of function clones in a software system using metrics , 1996, 1996 Proceedings of International Conference on Software Maintenance.
[47] Yijun Yu,et al. Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks , 2017, AAAI Workshops.
[48] Yves Le Traon,et al. Learning to Spot and Refactor Inconsistent Method Names , 2019, 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE).
[49] Cristina V. Lopes,et al. Oreo: detection of clones in the twilight zone , 2018, ESEC/SIGSOFT FSE.
[50] Andreas Krause,et al. Predicting Program Properties from "Big Code" , 2015, POPL.
[51] Andrian Marcus,et al. Supporting program comprehension with source code summarization , 2010, 2010 ACM/IEEE 32nd International Conference on Software Engineering.
[52] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[53] Ignacio Iacobacci,et al. Embeddings for Word Sense Disambiguation: An Evaluation Study , 2016, ACL.
[54] Aditya V. Thakur,et al. Path-Based Function Embedding and its Application to Specification Mining , 2018, ArXiv.
[55] I-Han Hsiao,et al. user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code , 2019, LAK.
[56] Krzysztof Czarnecki,et al. An Exploratory Study of Cloning in Industrial Software Product Lines , 2013, 2013 17th European Conference on Software Maintenance and Reengineering.
[57] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[58] Ming Li,et al. Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training , 2018, IJCAI.
[59] Sampo Pyysalo,et al. Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance , 2016, RepEval@ACL.
[60] Chanchal Kumar Roy,et al. Mining Duplicate Questions of Stack Overflow , 2016, 2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR).
[61] Chanchal Kumar Roy,et al. Evaluating clone detection tools with BigCloneBench , 2015, 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME).
[62] Torsten Hoefler,et al. Neural Code Comprehension: A Learnable Representation of Code Semantics , 2018, NeurIPS.
[63] Artur Andrzejak,et al. Learning-Based Recursive Aggregation of Abstract Syntax Trees for Code Clone Detection , 2019, 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER).
[64] Tao Wang,et al. Convolutional Neural Networks over Tree Structures for Programming Language Processing , 2014, AAAI.