title:PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair year:2021 venue:NeurIPS task:Program repair model:graph-based model dataset: pdf: code:https://github.com/google-research/plur
title:Learning to Fix Build Errors with Graph2Diff Neural Networks year:2020 venue:ICSEW task:Program repair model:graph-based model dataset: pdf:https://arxiv.org/abs/1911.01205 code:
title:deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search year:2021 venue:arxiv task:Code search model:graph-based model dataset: pdf:https://arxiv.org/abs/2103.13020 code:https://github.com/degraphcs/DeGraphCS
title:GraphSearchNet: Enhancing GNNs via Capturing Global Dependency for Semantic Code Search year:2021 venue:arxiv task:Code search model:graph-based model dataset: pdf:https://arxiv.org/pdf/2111.02671.pdf code:
title:Language-Agnostic Representation Learning of Source Code from Structure and Context year:2021 venue:ICLR task: model: dataset: pdf:https://www.semanticscholar.org/paper/05e396e79a2f88f0b8f8d99f5ab36ab3efa95c14 code:
title:On the naturalness of software year:2016 venue:2012 34th International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/66b1837b047be9b76f0597550c01be4c10f51190 code:
title:Code completion with statistical language models year:2014 venue:PLDI 2014 task: model: dataset: pdf:https://www.semanticscholar.org/paper/1e688be9f4554aa981fe3db9e2a66388b05bd167 code:
title:Structured Generative Models of Natural Source Code year:2014 venue:ICML task: model: dataset: pdf:https://www.semanticscholar.org/paper/215999a0e155a21255e4655d4eac312858058a84 code:
title:Learning natural coding conventions year:2014 venue:SIGSOFT FSE task: model: dataset: pdf:https://www.semanticscholar.org/paper/93ff001eb7ddd019c107879943126c74a973993b code:
title:Convolutional Networks on Graphs for Learning Molecular Fingerprints year:2015 venue:NIPS task: model: dataset: pdf:https://www.semanticscholar.org/paper/5d1bfeed240709725c78bc72ea40e55410b373dc code:
title:Suggesting accurate method and class names year:2015 venue:ESEC/SIGSOFT FSE task: model: dataset: pdf:https://www.semanticscholar.org/paper/cd7ee037c029b25e691650a26cec7538d255405c code:
title:Discriminative Embeddings of Latent Variable Models for Structured Data year:2016 venue:ICML task: model: dataset: pdf:https://www.semanticscholar.org/paper/322cf9bcde458a45eaeca989a1eec92f7c6db984 code:
title:A Convolutional Attention Network for Extreme Summarization of Source Code year:2016 venue:ICML task: model: dataset: pdf:https://www.semanticscholar.org/paper/484ed558a5863060b373e8a2cb7cb302b8c36116 code:
title:Learning Python Code Suggestion with a Sparse Pointer Network year:2016 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/6cb40055bd871ee2178cea3d535c5c52d63ac3af code:
title:Statistical Deobfuscation of Android Applications year:2016 venue:CCS task: model: dataset: pdf:https://www.semanticscholar.org/paper/772a7179b9ff27792e63f821b1ac36502513ee12 code:
title:A deep language model for software code year:2016 venue:FSE 2016 task: model: dataset: pdf:https://www.semanticscholar.org/paper/a1b6b07157442f9ca2b5af3533a42b4caa100307 code:
title:Bugram: Bug detection with n-gram language models year:2016 venue:2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/b6afddd2518e2f89083ad63d6944ba2724db28b6 code:
title:Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering year:2016 venue:NIPS task: model: dataset: pdf:https://www.semanticscholar.org/paper/c41eb895616e453dcba1a70c9b942c5063cc656c code:
title:Exploring API Embedding for API Usages and Applications year:2017 venue:2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/06d1af9847d176b191e09ecb506ac0e172510231 code:
title:A general path-based representation for predicting program properties year:2018 venue:Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation task: model: dataset: pdf:https://www.semanticscholar.org/paper/02b92dcc30865950517894d8adafd3bd4474b018 code:
title:Self-Attention with Relative Position Representations year:2018 venue:NAACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/c8efcc854d97dfc2a42b83316a2109f9d166e43f code:
title:Modeling Relational Data with Graph Convolutional Networks year:2017 venue:ESWC task: model: dataset: pdf:https://www.semanticscholar.org/paper/cd8a9914d50b0ac63315872530274d158d6aff09 code:
title:Hierarchical Graph Representation Learning with Differentiable Pooling year:2018 venue:NeurIPS task: model: dataset: pdf:https://www.semanticscholar.org/paper/d18b48f77eb5c517a6d2c1fa434d2952a1b0a825 code:
title:Code Completion with Neural Attention and Pointer Networks year:2017 venue:IJCAI task: model: dataset: pdf:https://www.semanticscholar.org/paper/dd908c09eaf8f3a3c20d64fff798ec902433737d code:
title:Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks year:2018 venue:ICLR task: model: dataset: pdf:https://www.semanticscholar.org/paper/15d6f3d815d0ff176fafb14a3f46e5723ebac723 code:
title:Position-aware Graph Neural Networks year:2019 venue:ICML task: model: dataset: pdf:https://www.semanticscholar.org/paper/6b010e07618eb36abe6def23d94488b2c81ecbf7 code:
title:code2vec: learning distributed representations of code year:2018 venue:Proc. ACM Program. Lang. task: model: dataset: pdf:https://www.semanticscholar.org/paper/73bade9162bc4df6ca6c9ab8a7eb2d54d35acad2 code:
title:code2seq: Generating Sequences from Structured Representations of Code year:2018 venue:ICLR task: model: dataset: pdf:https://www.semanticscholar.org/paper/98d1307bed619b58b4a44acd8e65ac58495776c2 code:
title:Transformer-XL: Attentive Language Models beyond a Fixed-Length Context year:2019 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/c4744a7c2bb298e4a52289a1e085c71cc3d37bc6 code:
title:XLNet: Generalized Autoregressive Pretraining for Language Understanding year:2019 venue:NeurIPS task: model: dataset: pdf:https://www.semanticscholar.org/paper/e0c6abdbdecf04ffac65c440da77fb9d66bb474c code:
title:Cross-lingual Language Model Pretraining year:2019 venue:NeurIPS task: model: dataset: pdf:https://www.semanticscholar.org/paper/ec4eba83f6b3266d9ae7cabb2b2cb1518f727edc code:
title:Directional Message Passing for Molecular Graphs year:2020 venue:ICLR task: model: dataset: pdf:https://www.semanticscholar.org/paper/6bc4004347cdf76d84597210796f38fcf7a01a80 code:
title:Pre-trained Contextual Embedding of Source Code year:2019 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/463fefdbd81a4a0a32cf59bc58a9545757c8cf2e code:
################# BEFORE 2018 #################
title:What's the code?: automatic classification of source code archives year:2002 venue:KDD task: model: dataset: pdf:https://www.semanticscholar.org/paper/3de514275dd87e5671cc885c6bd4ff4c5f3ddce9 code:
title:Empirical assessment of machine learning based software defect prediction techniques year:2005 venue:10th IEEE International Workshop on Object-Oriented Real-Time Dependable Systems task: model: dataset: pdf:https://www.semanticscholar.org/paper/ec4f1eb6d2f38879792419e90ab3821460bc90f7 code:
title:Predicting defect densities in source code files with decision tree learners year:2006 venue:MSR '06 task: model: dataset: pdf:https://www.semanticscholar.org/paper/9a5ca8d5eff8b65a9354e8250d4f69a59761d7c2 code:
title:Software Defect Identification Using Machine Learning Techniques year:2006 venue:32nd EUROMICRO Conference on Software Engineering and Advanced Applications (EUROMICRO'06) task: model: dataset: pdf:https://www.semanticscholar.org/paper/c31b35fbac605b6c47e29eae1c68ba0c267ebd09 code:
title:Structural Statistical Software Testing with Active Learning in a Graph year:2007 venue:ILP task: model: dataset: pdf:https://www.semanticscholar.org/paper/5eda02a21d2f90c5c8badb38c074d301e693419d code:
title:Predicting buggy changes inside an integrated development environment year:2007 venue:eclipse '07 task: model: dataset: pdf:https://www.semanticscholar.org/paper/75c5c5f23be14dbfe472a36d675ebb0ef0c46c72 code:
title:Predicting Defects for Eclipse year:2007 venue:Third International Workshop on Predictor Models in Software Engineering (PROMISE'07: ICSE Workshops 2007) task: model: dataset: pdf:https://www.semanticscholar.org/paper/a325f1b0694ec557011ac5994fc50a9d99d01592 code:
title:Software assurance with samate reference dataset, tool standards, and studies year:2007 venue:2007 IEEE/AIAA 26th Digital Avionics Systems Conference task: model: dataset: pdf:https://www.semanticscholar.org/paper/bfa8a7c077167bf89870dfeed92d0afe453a7438 code:
title:Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic year:2007 venue:KI task: model: dataset: pdf:https://www.semanticscholar.org/paper/f8e993065ef757f3001edfd4228a39889ee22bd9 code:
title:Malicious Code Detection Using Active Learning year:2009 venue:PinKDD task: model: dataset: pdf:https://www.semanticscholar.org/paper/728265137c7dd3ea01e19577b41af7592a811d42 code:
title:Investigating statistical machine learning as a tool for software development year:2008 venue:CHI task: model: dataset: pdf:https://www.semanticscholar.org/paper/94ac58d1b6132b07ef66c47af8bd506bdb67e0c3 code:
title:Applying machine learning to software fault-proneness prediction year:2008 venue:J. Syst. Softw. task: model: dataset: pdf:https://www.semanticscholar.org/paper/b0bbea300988928b7c2998e98e52670b2c365327 code:
title:An Application of Latent Dirichlet Allocation to Analyzing Software Evolution year:2008 venue:2008 Seventh International Conference on Machine Learning and Applications task: model: dataset: pdf:https://www.semanticscholar.org/paper/ccb0e5b98966edd4e795a01aa1884f47a09b93be code:
title:Risky Module Estimation in Safety-Critical Software year:2009 venue:2009 Eighth IEEE/ACIS International Conference on Computer and Information Science task: model: dataset: pdf:https://www.semanticscholar.org/paper/38f26d541fcc651dfc62246d3bddb2b7440476e8 code:
title:Code Completion from Abbreviated Input year:2009 venue:2009 IEEE/ACM International Conference on Automated Software Engineering task: model: dataset: pdf:https://www.semanticscholar.org/paper/7e913be78e2161de1f6779c84ce4c9c5ab8d12dd code:
title:Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey year:2009 venue:Inf. Secur. Tech. Rep. task: model: dataset: pdf:https://www.semanticscholar.org/paper/8fa50df52427f51fc87f3c0b6acc0edfbdf556e8 code:
title:Learning from examples to improve code completion systems year:2009 venue:ESEC/FSE '09 task: model: dataset: pdf:https://www.semanticscholar.org/paper/af5a7be7bfc592e400e2f12a24ad3e6a5a44b58f code:
title:Machine Learning Methods and Asymmetric Cost Function to Estimate Execution Effort of Software Testing year:2010 venue:2010 Third International Conference on Software Testing, Verification and Validation task: model: dataset: pdf:https://www.semanticscholar.org/paper/5cfc37f3a9f1c1320f5a90095c551aa6e54661f2 code:
title:Malicious web content detection by machine learning year:2010 venue:Expert Syst. Appl. task: model: dataset: pdf:https://www.semanticscholar.org/paper/9531e81dba28c2239713f0428082796785884f73 code:
title:Sample-based software defect prediction with active and semi-supervised learning year:2012 venue:Automated Software Engineering task: model: dataset: pdf:https://www.semanticscholar.org/paper/792701dac893c7a1def2eddf5bc4fc4d56273519 code:
title:Code completion of multiple keywords from abbreviated input year:2011 venue:Automated Software Engineering task: model: dataset: pdf:https://www.semanticscholar.org/paper/ba2954daebec7aa96bbcf40892198d9fc045bda7 code:
title:Evaluating defect prediction approaches: a benchmark and an extensive comparison year:2012 venue:Empirical Software Engineering task: model: dataset: pdf:https://www.semanticscholar.org/paper/ba98d43080bd0eeecba24c3124d63216c78494b8 code:
title:A Genetic Algorithm to Configure Support Vector Machines for Predicting Fault-Prone Components year:2011 venue:PROFES task: model: dataset: pdf:https://www.semanticscholar.org/paper/c8b563580f4d2680f01f56681260ad5d9fe7f045 code:
title:A Machine Learning Based Tool for Source Code Plagiarism Detection year:2011 venue: task: model: dataset: pdf:https://www.semanticscholar.org/paper/d4ea70b97b287d887ebb4f391a0e36d4e995f710 code:
title:Dissecting Android Malware: Characterization and Evolution year:2012 venue:2012 IEEE Symposium on Security and Privacy task: model: dataset: pdf:https://www.semanticscholar.org/paper/12ef153d9c7ccc374d56acf34b59fb2eaec6f755 code:
title:Transfer learning for cross-company software defect prediction year:2012 venue:Inf. Softw. Technol. task: model: dataset: pdf:https://www.semanticscholar.org/paper/3d36c67c859c76daccac8e1c3c50130e610bec3d code:
title:Assessment of software testing time using soft computing techniques year:2012 venue:SOEN task: model: dataset: pdf:https://www.semanticscholar.org/paper/45c4e0a2b8456629b46fbab514b70a80219be3eb code:
title:OPEM: A Static-Dynamic Approach for Machine-Learning-Based Malware Detection year:2012 venue:CISIS/ICEUTE/SOCO Special Sessions task: model: dataset: pdf:https://www.semanticscholar.org/paper/5238190eb598fb3352c51ee07b7ee8ec714f3c38 code:
title:Mining source code descriptions from developer communications year:2012 venue:2012 20th IEEE International Conference on Program Comprehension (ICPC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/7cf82b201c28d4bdef0f88ffef4f287f454e53f8 code:
title:A further analysis on the use of Genetic Algorithm to configure Support Vector Machines for inter-release fault prediction year:2012 venue:SAC '12 task: model: dataset: pdf:https://www.semanticscholar.org/paper/c9e903c981576a82bf3ba37b8a0f60b953d9a97f code:
title:Mining source code repositories at massive scale using language modeling year:2013 venue:2013 10th Working Conference on Mining Software Repositories (MSR) task: model: dataset: pdf:https://www.semanticscholar.org/paper/110b7719f16eae8d82af0f56fca6e802c842c181 code:
title:Using machine learning techniques to detect metamorphic relations for programs without test oracles year:2013 venue:2013 IEEE 24th International Symposium on Software Reliability Engineering (ISSRE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/28174090813c2f2adbae9847d46c6c63c647af1a code:
title:Clonewise - Detecting Package-Level Clones Using Machine Learning year:2013 venue:SecureComm task: model: dataset: pdf:https://www.semanticscholar.org/paper/355ff9c6e075d887449c11957d7522b6b2d62bcc code:
title:Securing energy metering software with automatic source code correction year:2013 venue:2013 11th IEEE International Conference on Industrial Informatics (INDIN) task: model: dataset: pdf:https://www.semanticscholar.org/paper/56da98d4db0a778646ee445bd2fdbc2848f869af code:
title:Using Class Imbalance Learning for Software Defect Prediction year:2013 venue:IEEE Transactions on Reliability task: model: dataset: pdf:https://www.semanticscholar.org/paper/9b22d08c04fdf6b1f16217322a4af39831734c59 code:
title:Code Smell Detection: Towards a Machine Learning-Based Approach year:2013 venue:2013 IEEE International Conference on Software Maintenance task: model: dataset: pdf:https://www.semanticscholar.org/paper/f77f30b884cd9dcb08032c66470293e33090c0b0 code:
title:Software Defect Prediction Using Supervised Learning Algorithm and Unsupervised Learning Algorithm year:2013 venue: task: model: dataset: pdf:https://www.semanticscholar.org/paper/f78909e81cccf992a4fe6db3b0444902f58156c8 code:
title:Mobile-Sandbox: combining static and dynamic analysis with machine-learning techniques year:2015 venue:International Journal of Information Security task: model: dataset: pdf:https://www.semanticscholar.org/paper/05c155ba9f428bced40a250097db959fdb3bc552 code:
title:Fine-grained and accurate source code differencing year:2014 venue:ASE task: model: dataset: pdf:https://www.semanticscholar.org/paper/099c9fa379eeb10222969ce0073968ea47417768 code:
title:Optimizing testing efforts based on change proneness through machine learning techniques year:2014 venue:2014 6th IEEE Power India International Conference (PIICON) task: model: dataset: pdf:https://www.semanticscholar.org/paper/272e210bec80385b0308dacb76e0f68c3e8b86fc code:
title:Detecting Design Patterns in Object-Oriented Program Source Code by Using Metrics and Machine Learning year:2014 venue: task: model: dataset: pdf:https://www.semanticscholar.org/paper/2b96eaae87bd04f19f5c07ac6a3f78c78a02d580 code:
title:Defects4J: a database of existing faults to enable controlled testing studies for Java programs year:2014 venue:ISSTA 2014 task: model: dataset: pdf:https://www.semanticscholar.org/paper/37e2106bebd02f4ac9c410941fde7f358279e4a4 code:
title:On Automatically Generating Commit Messages via Summarization of Source Code Changes year:2014 venue:2014 IEEE 14th International Working Conference on Source Code Analysis and Manipulation task: model: dataset: pdf:https://www.semanticscholar.org/paper/577c9472f30d63972ca4437f609130ab35812d18 code:
title:Towards a Big Data Curated Benchmark of Inter-project Code Clones year:2014 venue:2014 IEEE International Conference on Software Maintenance and Evolution task: model: dataset: pdf:https://www.semanticscholar.org/paper/9277dc7dd5b348645e8fcf4a987e5b3fc9132c7c code:
title:Classification model for code clones based on machine learning year:2015 venue:Empirical Software Engineering task: model: dataset: pdf:https://www.semanticscholar.org/paper/93b90df430ac84838928fa29d8adef95f2e4d930 code:
title:Automatic detection and correction of web application vulnerabilities using data mining to predict false positives year:2014 venue:WWW task: model: dataset: pdf:https://www.semanticscholar.org/paper/b9f96d4aa4c9f914a84327c521637804330c06a9 code:
title:On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring year:2014 venue:SSBSE task: model: dataset: pdf:https://www.semanticscholar.org/paper/c286affec7c3b28392cf8230331d6929858b1966 code:
title:Data-guided repair of selection statements year:2014 venue:ICSE task: model: dataset: pdf:https://www.semanticscholar.org/paper/d7847530df75c5c1bf33b4b8554cf8b0b3d3cdfe code:
title:Comparative analysis of statistical and machine learning methods for predicting faulty modules year:2014 venue:Appl. Soft Comput. task: model: dataset: pdf:https://www.semanticscholar.org/paper/e78cbdf4e86e7b79b6bf19079b978df539f56f78 code:
title:Comparing and experimenting machine learning techniques for code smell detection year:2016 venue:Empirical Software Engineering task: model: dataset: pdf:https://www.semanticscholar.org/paper/1aa955560242f32983cacb6c7f1ea9d9b36aa96a code:
title:Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T) year:2015 venue:2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/27e1dbe9f7c71cd6cc1b0357f49aef497e572d09 code:
title:VCCFinder: Finding Potential Vulnerabilities in Open-Source Projects to Assist Code Audits year:2015 venue:CCS task: model: dataset: pdf:https://www.semanticscholar.org/paper/2feccf0992285a8d9d5b5480785d34358f5a8918 code:
title:Recommending insightful comments for source code using crowdsourced knowledge year:2015 venue:2015 IEEE 15th International Working Conference on Source Code Analysis and Manipulation (SCAM) task: model: dataset: pdf:https://www.semanticscholar.org/paper/4459aae345de8e00de0510e2b8aedee39bfb1815 code:
title:Automated support for diagnosis and repair year:2015 venue:Commun. ACM task: model: dataset: pdf:https://www.semanticscholar.org/paper/53874f715b3d13bef5aa1a4ac2389e098782e7c0 code:
title:Intelligent Code Completion with Bayesian Networks year:2015 venue:ACM Trans. Softw. Eng. Methodol. task: model: dataset: pdf:https://www.semanticscholar.org/paper/66911442b67460f0e602a1f56b7342dd593c1993 code:
title:Deep Convolutional Neural Networks for Large-scale Speech Tasks year:2015 venue:Neural Networks task: model: dataset: pdf:https://www.semanticscholar.org/paper/8ef763cb4f13f8dc9d4376b5ad8f377331e8572d code:
title:Experience report: Evaluating the effectiveness of decision trees for detecting code smells year:2015 venue:2015 IEEE 26th International Symposium on Software Reliability Engineering (ISSRE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/9d7c143f82742fc6f19141a8c80da8de33ec1471 code:
title:Web Application Vulnerability Prediction Using Hybrid Program Analysis and Machine Learning year:2015 venue:IEEE Transactions on Dependable and Secure Computing task: model: dataset: pdf:https://www.semanticscholar.org/paper/bda654cfc44c586b5b6d7d38f48fe8553fa2a37c code:
title:Should fixing these failures be delegated to automated program repair? year:2015 venue:2015 IEEE 26th International Symposium on Software Reliability Engineering (ISSRE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/c75df1e8c3e7618951fa1572ee215c994fbcb3e9 code:
title:Suggesting accurate method and class names year:2015 venue:ESEC/SIGSOFT FSE task: model: dataset: pdf:https://www.semanticscholar.org/paper/cd7ee037c029b25e691650a26cec7538d255405c code:
title:Going deeper with convolutions year:2014 venue:2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) task: model: dataset: pdf:https://www.semanticscholar.org/paper/e15cf50aa89fee8535703b9f9512fca5bfc43327 code:
title:Source code fragment summarization with small-scale crowdsourcing based features year:2016 venue:Frontiers of Computer Science task: model: dataset: pdf:https://www.semanticscholar.org/paper/e581ca1ad3f195a6597aa0a769c2cdb4dd9b0191 code:
title:The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs year:2015 venue:IEEE Transactions on Software Engineering task: model: dataset: pdf:https://www.semanticscholar.org/paper/ea73e3c069f4593e916737ca8f59a3faf51d1f0c code:
title:Designite: a software design quality assessment tool year:2016 venue:BRIDGE '16 task: model: dataset: pdf:https://www.semanticscholar.org/paper/07757363e6c605d0aac057bad439eb34da011d41 code:
title:AndroZoo: Collecting Millions of Android Apps for the Research Community year:2016 venue:2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) task: model: dataset: pdf:https://www.semanticscholar.org/paper/128add3f0e727b73b3df0ca13b4e818d543bdd98 code:
title:Predicting metamorphic relations for testing scientific software: a machine learning approach using graph kernels year:2016 venue:Softw. Test. Verification Reliab. task: model: dataset: pdf:https://www.semanticscholar.org/paper/14cd42b5802873b36bd581ba5db6e345e2a2459f code:
title:Latent Attention For If-Then Program Synthesis year:2016 venue:NIPS task: model: dataset: pdf:https://www.semanticscholar.org/paper/165f45f42a1418526c2fd5eeb0ebf6c147f4f507 code:
title:Summarizing Source Code using a Neural Attention Model year:2016 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/32aa2517b03c871c11e521c2a3406f457833e2c3 code:
title:Semantic Clone Detection Using Machine Learning year:2016 venue:2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA) task: model: dataset: pdf:https://www.semanticscholar.org/paper/36628978f1e717e1769ecb2ff9e723301fe73919 code:
title:A Convolutional Attention Network for Extreme Summarization of Source Code year:2016 venue:ICML task: model: dataset: pdf:https://www.semanticscholar.org/paper/484ed558a5863060b373e8a2cb7cb302b8c36116 code:
title:Mutation-aware fault prediction year:2016 venue:ISSTA task: model: dataset: pdf:https://www.semanticscholar.org/paper/48d1d15820380a797da98b99ffbd27e252e25067 code:
title:Repairing Intricate Faults in Code Using Machine Learning and Path Exploration year:2016 venue:2016 IEEE International Conference on Software Maintenance and Evolution (ICSME) task: model: dataset: pdf:https://www.semanticscholar.org/paper/4c0b5c85745af8dfaf70ff808a4523fbfc8d1de0 code:
title:Automatic patch generation by learning correct code year:2016 venue:POPL task: model: dataset: pdf:https://www.semanticscholar.org/paper/50358e3f30ab8c99f9d383e5683b31c2311e5651 code:
title:Early Identification of Vulnerable Software Components via Ensemble Learning year:2016 venue:2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA) task: model: dataset: pdf:https://www.semanticscholar.org/paper/5cc0001608a61a72b337fa3b48b0ec6f86a22cf1 code:
title:Probabilistic model for code with decision trees year:2016 venue:OOPSLA 2016 task: model: dataset: pdf:https://www.semanticscholar.org/paper/62e176977d439aac2e2d7eca834a7a99016dfcaf code:
title:Automatically Learning Semantic Features for Defect Prediction year:2016 venue:2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/6334ee3a7812d9912263c5d616215509fe2b4f15 code:
title:Deep learning code fragments for code clone detection year:2016 venue:2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/775dd65fd70c13bc4144c28b25aa3376bbab3254 code:
title:Improved approach for software defect prediction using artificial neural networks year:2016 venue:2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) task: model: dataset: pdf:https://www.semanticscholar.org/paper/8b5d7ace40c23e7807714e62674735d65c7422ed code:
title:Experimenting Machine Learning Techniques to Predict Vulnerabilities year:2016 venue:2016 Seventh Latin-American Symposium on Dependable Computing (LADC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/9f5697ab0a9df82ece2cb3722fbfc5c998a891a8 code:
title:Android Malware Detection Using Category-Based Machine Learning Classifiers year:2016 venue:SIGITE task: model: dataset: pdf:https://www.semanticscholar.org/paper/e1dc7b90222a3784be16ee3023c7a16e6f151d81 code:
title:SVF: interprocedural static value-flow analysis in LLVM year:2016 venue:CC task: model: dataset: pdf:https://www.semanticscholar.org/paper/e988198a8b5b7a9835d8f97e108928ed8ad8855c code:
title:Identifying Auto-Generated Code by Using Machine Learning Techniques year:2016 venue:2016 7th International Workshop on Empirical Software Engineering in Practice (IWESEP) task: model: dataset: pdf:https://www.semanticscholar.org/paper/f7c2b54a08eb3cf596d6edca94f6fb2f2a5e3856 code:
title:Can Latent Topics in Source Code Predict Missing Architectural Tactics? year:2017 venue:2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/1c5099ec50bccf0858f0e2fead72fcc6808d5aed code:
title:Machine-Learning-Guided Selectively Unsound Static Analysis year:2017 venue:2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/1e3041097542921ad7de33572ccf398f649fe2d4 code:
title:Application of LSSVM and SMOTE on Seven Open Source Projects for Predicting Refactoring at Class Level year:2017 venue:2017 24th Asia-Pacific Software Engineering Conference (APSEC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/2214259d118dd2a854c98f43163899ee2fd826e9 code:
title:A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation year:2017 venue:IJCNLP task: model: dataset: pdf:https://www.semanticscholar.org/paper/3807a517403cfc7ed67fdfea64baf62b9948bcfe code:
title:Predicting Android Application Security and Privacy Risk with Static Code Metrics year:2017 venue:2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft) task: model: dataset: pdf:https://www.semanticscholar.org/paper/6905b3f88f09382510648b16822616332269daa3 code:
title:Change Prediction through Coding Rules Violations year:2017 venue:EASE task: model: dataset: pdf:https://www.semanticscholar.org/paper/696acce29baea2d4760a236869ab33709648ba93 code:
title:Assessment of machine learning algorithms for determining defective classes in an object-oriented software year:2017 venue:2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) task: model: dataset: pdf:https://www.semanticscholar.org/paper/6a2d0aad70805e9b49af87bc53b0aa0cbeb96662 code:
title:Automatically generating commit messages from diffs using neural machine translation year:2017 venue:2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/6bcbe895becdb670027a3e3c1e36ff7d63d3f7b4 code:
title:Machine Learning-Driven Automatic Program Transformation to Increase Performance in Heterogeneous Architectures year:2017 venue: task: model: dataset: pdf:https://www.semanticscholar.org/paper/7a2284969a77abd90c9d5f68080135ba8d60b2aa code:
title:Prediction & Assessment of Change Prone Classes Using Statistical & Machine Learning Techniques year:2017 venue:J. Inf. Process. Syst. task: model: dataset: pdf:https://www.semanticscholar.org/paper/92abc84fc2d27eb6e808656d54dbd213dd1ff8e2 code:
title:Software defect prediction analysis using machine learning algorithms year:2017 venue:2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence task: model: dataset: pdf:https://www.semanticscholar.org/paper/931f24a507daad35341458753f192545989579a5 code:
title:An empirical study of software entropy based bug prediction using machine learning year:2017 venue:Int. J. Syst. Assur. Eng. Manag. task: model: dataset: pdf:https://www.semanticscholar.org/paper/9603418500978934fb8d775587697374b1e32730 code:
title:Are deep neural networks the best choice for modeling source code? year:2017 venue:ESEC/SIGSOFT FSE task: model: dataset: pdf:https://www.semanticscholar.org/paper/b4a26011eb7c26d71cd074f182c4f093da24308b code:
title:Code review analysis of software system using machine learning techniques year:2017 venue:2017 11th International Conference on Intelligent Systems and Control (ISCO) task: model: dataset: pdf:https://www.semanticscholar.org/paper/bdd01333adf7f924d2e958394b65e4d34c02a24c code:
title:Human activity recognition from accelerometer data using Convolutional Neural Network year:2017 venue:2017 IEEE International Conference on Big Data and Smart Computing (BigComp) task: model: dataset: pdf:https://www.semanticscholar.org/paper/cb1e51d7e7dcbe921c7d4fe9eb180bb0efca1186 code:
title:Investigating the Accuracy of Test Code Size Prediction using Use Case Metrics and Machine Learning Algorithms: An Empirical Study year:2017 venue:ICMLSC task: model: dataset: pdf:https://www.semanticscholar.org/paper/d2671b59543646f46208cd53c3b2383913dcf6b4 code:
title:Code smell severity classification using machine learning techniques year:2017 venue:Knowl. Based Syst. task: model: dataset: pdf:https://www.semanticscholar.org/paper/d7c5168b1be6b5c116f8c4568bb6b25dead3b03c code:
title:A Support Vector Machine Based Approach for Code Smell Detection year:2017 venue:2017 International Conference on Machine Learning and Data Science (MLDS) task: model: dataset: pdf:https://www.semanticscholar.org/paper/dc69d9a9cffc6b64e8086ab257c1df51d362753d code:
title:DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models year:2017 venue:2017 IEEE/ACM 39th International Conference on Software Engineering: New Ideas and Emerging Technologies Results Track (ICSE-NIER) task: model: dataset: pdf:https://www.semanticscholar.org/paper/f67fd7346bcd7704ae4878dedc73106ecd3056fd code:
title:Elixir: Effective object-oriented program repair year:2017 venue:2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/f8bfe49b220e4122649231f34ebbef2620281c97 code:
title:Machine learning aided Android malware classification year:2017 venue:Comput. Electr. Eng. task: model: dataset: pdf:https://www.semanticscholar.org/paper/fc4a8062d5b8dfd34e61f46ebedade56e01ef001 code:
title:Empirical comparison of machine learning algorithms for bug prediction in open source software year:2017 venue:2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/fc8a801b32bf8c60c7d55ff57869ac32fc17cb1c code:
title:Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks year:2017 venue: task: model: dataset: pdf:https://www.semanticscholar.org/paper/fd9564f2837d6dda62a3368576a064585f531fc6 code:
title:Improvement in Software Defect Prediction Outcome Using Principal Component Analysis and Ensemble Machine Learning Algorithms year:2018 venue:International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 task: model: dataset: pdf:https://www.semanticscholar.org/paper/000ac127a9e270e66d99d77dd6dbf4bf5186ce52 code:
title:How high will it be? Using machine learning models to predict branch coverage in automated testing year:2018 venue:2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/014369a10296cbe426be9c8b2a1b9729d0e98a7b code:
title:A general path-based representation for predicting program properties year:2018 venue:Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation task: model: dataset: pdf:https://www.semanticscholar.org/paper/02b92dcc30865950517894d8adafd3bd4474b018 code:
title:Generating Test Input with Deep Reinforcement Learning year:2018 venue:2018 IEEE/ACM 11th International Workshop on Search-Based Software Testing (SBST) task: model: dataset: pdf:https://www.semanticscholar.org/paper/06082502d37b7cc6f17aa40408f25c64e09256be code:
title:A Neural Framework for Retrieval and Summarization of Source Code year:2018 venue:2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/073bbfc1fd41a9d67dd6f568ac7e8dff5b2c9c95 code:
title:Shinobi: A Novel Approach for Context-Driven Testing (CDT) Using Heuristics and Machine Learning for Web Applications year:2018 venue:INISCOM task: model: dataset: pdf:https://www.semanticscholar.org/paper/155e40b12c8fbdea355a156bb899fe5bdd7ed63a code:
title:Deep Code Comment Generation year:2018 venue:2018 IEEE/ACM 26th International Conference on Program Comprehension (ICPC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/15f16252af84a630f1f9442d4e0367b6fba089cf code:
title:Automatic Clone Recommendation for Refactoring Based on the Present and the Past year:2018 venue:2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) task: model: dataset: pdf:https://www.semanticscholar.org/paper/1772e7b9e1d2291b71fd2201a4545063fe51d9c5 code:
title:Automated Vulnerability Detection in Source Code Using Deep Representation Learning year:2018 venue:2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) task: model: dataset: pdf:https://www.semanticscholar.org/paper/1a2fb75103ea9dc9ff31711ba5aa357088c026bc code:
title:Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow year:2018 venue:2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) task: model: dataset: pdf:https://www.semanticscholar.org/paper/1a53e7446274016f737236bdd48e3ff05d966384 code:
title:A deep neural network language model with contexts for source code year:2018 venue:2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) task: model: dataset: pdf:https://www.semanticscholar.org/paper/1c159db22f8a6e7c177d9c9fdb5c3972514a12f9 code:
title:Deep Learning Similarities from Different Representations of Source Code year:2018 venue:2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) task: model: dataset: pdf:https://www.semanticscholar.org/paper/2d64197660db33ad81c25dbeb7a04989077c0537 code:
title:An Empirical Analysis on Web Service Anti-pattern Detection Using a Machine Learning Framework year:2018 venue:2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/2f823b98a6a9c3a0a4b191be3a68be940fb9e0c4 code:
title:Applying Code Vectors for Presenting Software Features in Machine Learning year:2018 venue:2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/3619731f8801123f41365e3cbb9c44518d4d616a code:
title:Neural Code Comprehension: A Learnable Representation of Code Semantics year:2018 venue:NeurIPS task: model: dataset: pdf:https://www.semanticscholar.org/paper/41c8cabe475d85d7548c25935da19ea5b96dfe06 code:
title:Summarizing Source Code with Transferred API Knowledge year:2018 venue:IJCAI task: model: dataset: pdf:https://www.semanticscholar.org/paper/49164d216b7e7968ded2d9863af161191f2c32e5 code:
title:Neuro-Symbolic Program Corrector for Introductory Programming Assignments year:2018 venue:2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/4f7953767d00c67c2672a973ee3fdae00feb63bf code:
title:A Hybrid Approach To Detect Code Smells using Deep Learning year:2018 venue:ENASE task: model: dataset: pdf:https://www.semanticscholar.org/paper/58faeebbd1fcf5132114fe7c9fb8d4d72d2c33f0 code:
title:Neural-Machine-Translation-Based Commit Message Generation: How Far Are We? year:2018 venue:2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/5cca64b6b3d3c1f010f70f0e403991f19175cf00 code:
title:Using Machine Learning Techniques to Classify and Predict Static Code Analysis Tool Warnings year:2018 venue:2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA) task: model: dataset: pdf:https://www.semanticscholar.org/paper/601899e4ddca5db51ff19ea9be2ccb5a44c2378d code:
title:Discovering software vulnerabilities using data-flow analysis and machine learning year:2018 venue:ARES task: model: dataset: pdf:https://www.semanticscholar.org/paper/633959dbcb8cd73ebac5aaa39eb7632f4ec8233f code:
title:Large-Scale and Language-Oblivious Code Authorship Identification year:2018 venue:CCS task: model: dataset: pdf:https://www.semanticscholar.org/paper/64b89d1bf0820691f9865e9eb92e23cddc2469c6 code:
title:[Research Paper] On the Use of Machine Learning Techniques Towards the Design of Cloud Based Automatic Code Clone Validation Tools year:2018 venue:2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM) task: model: dataset: pdf:https://www.semanticscholar.org/paper/68dbb3577f6829df913413a8b13e09d6ef258e1c code:
title:Syntax and sensibility: Using language models to detect and correct syntax errors year:2018 venue:2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) task: model: dataset: pdf:https://www.semanticscholar.org/paper/6b0a6036d06f9b84043b8ced7b8971ea18275f71 code:
title:A survey on software smells year:2018 venue:J. Syst. Softw. task: model: dataset: pdf:https://www.semanticscholar.org/paper/6fa6e56c6d57efd5e0fbbe61093c0a0bd32f73cc code:
title:Machine Learning Methods for Software Vulnerability Detection year:2018 venue:IWSPA@CODASPY task: model: dataset: pdf:https://www.semanticscholar.org/paper/7780ad064761ced2f1ed1bf19e40b792b5ca3253 code:
title:Identifying Supplementary Bug-fix Commits year:2018 venue:2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/821d5e4e829ba1a6c4bcc13d792e10356acdd044 code:
title:Retrieval on source code: a neural code search year:2018 venue:MAPL@PLDI task: model: dataset: pdf:https://www.semanticscholar.org/paper/8b1aa4727eb2a83db1bd3ae54e078b0b7ce5eccb code:
title:Cross-Project Transfer Representation Learning for Vulnerable Function Discovery year:2018 venue:IEEE Transactions on Industrial Informatics task: model: dataset: pdf:https://www.semanticscholar.org/paper/92a097a8d1ed76138e09eccf5ee6d64fd34a420a code:
title:Keep it simple: Is deep learning good for linguistic smell detection? year:2018 venue:2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) task: model: dataset: pdf:https://www.semanticscholar.org/paper/94f1074dfeb437fdfaed6846f7d1ce954f2dde53 code:
title:A Survey of Machine Learning for Big Code and Naturalness year:2017 venue:ACM Comput. Surv. task: model: dataset: pdf:https://www.semanticscholar.org/paper/960ba564e9e598d864dff38d2f3d0bad1b319ead code:
title:Machine learning based software fault prediction utilizing source code metrics year:2018 venue:2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS) task: model: dataset: pdf:https://www.semanticscholar.org/paper/a4146a689531986871b1e1b415ee3377fbe13efd code:
title:Software Bug Prediction using Machine Learning Approach year:2018 venue: task: model: dataset: pdf:https://www.semanticscholar.org/paper/a5f65fe00bf4b467e6166487f0c2ffc4b66d9593 code:
title:A New Word Embedding Approach to Evaluate Potential Fixes for Automated Program Repair year:2018 venue:2018 International Joint Conference on Neural Networks (IJCNN) task: model: dataset: pdf:https://www.semanticscholar.org/paper/a87e9556fc41abbcb5e4b1884b986dc2e7171fd9 code:
title:Is Predicting Software Security Bugs Using Deep Learning Better Than the Traditional Machine Learning Algorithms? year:2018 venue:2018 IEEE International Conference on Software Quality, Reliability and Security (QRS) task: model: dataset: pdf:https://www.semanticscholar.org/paper/ab056b4efcc0c488d777c042596473c1246004dc code:
title:Pre-Patch: Find Hidden Threats in Open Software Based on Machine Learning Method year:2018 venue:SERVICES task: model: dataset: pdf:https://www.semanticscholar.org/paper/af364fa6c6d631dc274e8708abe9e7d026867f22 code:
title:Common Statement Kind Changes to Inform Automatic Program Repair year:2018 venue:2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) task: model: dataset: pdf:https://www.semanticscholar.org/paper/b2395ce69900e283b7398c3e7f1101fcd7e0cb7d code:
title:Detecting code smells using machine learning techniques: Are we there yet? year:2018 venue:2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) task: model: dataset: pdf:https://www.semanticscholar.org/paper/b4be98bf9a1a635cd9ab8d14560c8371ca12eaaa code:
title:Software fault classification using extreme learning machine: a cognitive approach year:2018 venue:Evolutionary Intelligence task: model: dataset: pdf:https://www.semanticscholar.org/paper/d0b3076a6cd7863616da3f524d2d536df9d76a8a code:
title:Automated Large Program Repair based on Big Code year:2018 venue:SoICT 2018 task: model: dataset: pdf:https://www.semanticscholar.org/paper/d693b540ca26dcce64a7d50b91dd573e94876d1c code:
title:The program Dependence Graph and its Use in Optimization year:1984 venue:Symposium on Programming task: model: dataset: pdf:https://www.semanticscholar.org/paper/ece80f049a527954af1c153d61cafee5789c2afe code:
title:Deep Code Search year:2018 venue:2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/e033a0b29af2939fd44e5765d03380c08897a9e8 code:
title:Automatic Source Code Summarization with Extended Tree-LSTM year:2019 venue:2019 International Joint Conference on Neural Networks (IJCNN) task: model: dataset: pdf:https://www.semanticscholar.org/paper/08218ed6095e407eba3f02ce141994241d03a5b9 code:
title:Code Summarization with Structure-induced Transformer year:2020 venue:FINDINGS task: model: dataset: pdf:https://www.semanticscholar.org/paper/77f9b54da444f49b2436712abe932627f16cbf95 code:
title:A Transformer-based Approach for Source Code Summarization year:2020 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/805a6d1df9f460abfcea3d51d181cf1e80680be4 code:
title:Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning year:2020 venue:WWW task: model: dataset: pdf:https://www.semanticscholar.org/paper/21d9d58ab9537d10927b749eaa1c8b8c5a970579 code:
title:A Topic Guided Pointer-Generator Model for Generating Natural Language Code Summaries year:2021 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/c01b1cdd4df3e97811fa27adf2e60c371ea60a6c code:
title:Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach year:2021 venue:2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/db0698abb06369d8e1ea5c048d6eeb0798c52c75 code:
title:Neural Code Summarization: How Far Are We? year:2021 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/3467b97c35d7d9e8d94b0a490751880ccdbcc479 code:
title:Adversarial training and ensemble learning for automatic code summarization year:2021 venue:Neural Comput. Appl. task: model: dataset: pdf:https://www.semanticscholar.org/paper/1596528282b15b74604a54c14581fb7203c17077 code:
title:Project-Level Encoding for Neural Source Code Summarization of Subroutines year:2021 venue:2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/3a02d68164b249a2ecabbb6e0d9ba6bf8e493d78 code:
title:Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors year:2021 venue:NLP4PROG task: model: dataset: pdf:https://www.semanticscholar.org/paper/2825d62b90ef59ed027f2ca22d185aae382aa73b code:
title:A Human Study of Comprehension and Code Summarization year:2020 venue:ICPC task: model: dataset: pdf:https://www.semanticscholar.org/paper/4614f69d7f831fbb93c997fc4a9c62a0ae1d8db0 code:
title:GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization year:2021 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/a782b1d91d90e3d3946cf019703162f7f9661cdf code:
title:Code Generation as a Dual Task of Code Summarization year:2019 venue:NeurIPS task: model: dataset: pdf:https://www.semanticscholar.org/paper/b7af363ff612f41e0c1071ae24ce68a836aaa678 code:
title:MulCode: A Multi-task Learning Approach for Source Code Understanding year:2021 venue:2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) task: model: dataset: pdf:https://www.semanticscholar.org/paper/f389c09ad85263bdd1bb2518d61c90a8a558441d code:
title:Fret: Functional Reinforced Transformer With BERT for Code Summarization year:2020 venue:IEEE Access task: model: dataset: pdf:https://www.semanticscholar.org/paper/2f376d4e8220551e6dae6d9351938c51ab6f804d code:
title:A Multi-Module Based Method for Generating Natural Language Descriptions of Code Fragments year:2021 venue:IEEE Access task: model: dataset: pdf:https://www.semanticscholar.org/paper/f5df2aa3a858cc88f4b1807f965c951961900eb2 code:
title:Ensemble Models for Neural Source Code Summarization of Subroutines year:2021 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/15822cd7fd7dc25972fe5cc9e670960381545249 code:
title:Code Structure Guided Transformer for Source Code Summarization year:2021 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/b837bbe685bf1f9a5e48aa011feb5e4c92b641be code:
title:On the Use of Automated Text Summarization Techniques for Summarizing Source Code year:2010 venue:2010 17th Working Conference on Reverse Engineering task: model: dataset: pdf:https://www.semanticscholar.org/paper/909f24eb765764fdc5622e1f8c121205ce93db1b code:
title:Evaluating source code summarization techniques: Replication and expansion year:2013 venue:2013 21st International Conference on Program Comprehension (ICPC) task: model: dataset: pdf:https://www.semanticscholar.org/paper/092b276f3411c9f8070411492129750231845682 code:
title:Modeling and Discovering Vulnerabilities with Code Property Graphs year:2014 venue:2014 IEEE Symposium on Security and Privacy task: model: dataset: pdf:https://www.semanticscholar.org/paper/07c4549be429a52274bc0ec083bf5598a3e5c365 code:
title:CloCom: Mining existing source code for automatic comment generation year:2015 venue:2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) task: model: dataset: pdf:https://www.semanticscholar.org/paper/abb80b4a82f3455f6b271f8384d3affe464f5dba code:
title:Neural Machine Translation by Jointly Learning to Align and Translate year:2014 venue:ICLR task: model: dataset: pdf:https://www.semanticscholar.org/paper/fa72afa9b2cbc8f0d7b05d52548906610ffbb9c5 code:
title:Summarizing Source Code using a Neural Attention Model year:2016 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/32aa2517b03c871c11e521c2a3406f457833e2c3 code:
title:A Convolutional Attention Network for Extreme Summarization of Source Code year:2016 venue:ICML task: model: dataset: pdf:https://www.semanticscholar.org/paper/484ed558a5863060b373e8a2cb7cb302b8c36116 code:
title:Tree-to-Sequence Attentional Neural Machine Translation year:2016 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/db02cd07726371790a825208cec377ec15f5b5f1 code:
title:Get To The Point: Summarization with Pointer-Generator Networks year:2017 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/668db48c6a79826456341680ee1175dfc4cced71 code:
title:Improving Automatic Source Code Summarization via Deep Reinforcement Learning year:2018 venue:2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/077ea3a496bd76bd22d76c432b79b9fa40e136e8 code:
title:Summarizing Source Code with Transferred API Knowledge year:2018 venue:IJCAI task: model: dataset: pdf:https://www.semanticscholar.org/paper/49164d216b7e7968ded2d9863af161191f2c32e5 code:
title:mvn2vec: Preservation and Collaboration in Multi-View Network Embedding year:2018 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/b2f2f0d1213762e4fe74754ddc405730dd86c0f2 code:
title:Automatic Generation of Text Descriptive Comments for Code Blocks year:2018 venue:AAAI task: model: dataset: pdf:https://www.semanticscholar.org/paper/be82528df1512ea65bc5edcaeefc1ec33cd27c82 code:
title:Self-Attention with Relative Position Representations year:2018 venue:NAACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/c8efcc854d97dfc2a42b83316a2109f9d166e43f code:
title:Automatic Source Code Summarization with Extended Tree-LSTM year:2019 venue:2019 International Joint Conference on Neural Networks (IJCNN) task: model: dataset: pdf:https://www.semanticscholar.org/paper/08218ed6095e407eba3f02ce141994241d03a5b9 code:
title:Structured Neural Summarization year:2018 venue:ICLR task: model: dataset: pdf:https://www.semanticscholar.org/paper/2225b7c480dc627e68f03e5321383f27e12cb1d7 code:
title:A Neural Model for Generating Natural Language Summaries of Program Subroutines year:2019 venue:2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/3092325d55f6aa9ba28b0841bdcfd61991a38d48 code:
title:Transformer-XL: Attentive Language Models beyond a Fixed-Length Context year:2019 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/c4744a7c2bb298e4a52289a1e085c71cc3d37bc6 code:
title:BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding year:2019 venue:NAACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/df2b0e26d0599ce3e70df8a9da02e51594e0e992 code:
title:Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data year:2019 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/f2f252a160bd5a51666c0f2485cb4878613b8f0b code:
title:Big Bird: Transformers for Longer Sequences year:2020 venue:NeurIPS task: model: dataset: pdf:https://www.semanticscholar.org/paper/044e13d7dd4e0655eb76f0bd00b2c1bdb44e2be3 code:
title:CodeBERT: A Pre-Trained Model for Programming and Natural Languages year:2020 venue:FINDINGS task: model: dataset: pdf:https://www.semanticscholar.org/paper/0fe2636446cd686830da3d971b31a004d6094b3c code:
title:Stepwise Extractive Summarization and Planning with Structured Transformers year:2020 venue:EMNLP task: model: dataset: pdf:https://www.semanticscholar.org/paper/46e7383e6fb8da77479d0a828c7a24d924302169 code:
title:Learning to Represent Programs with Heterogeneous Graphs year:2020 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/48dbd7e075b3041018c3bbfd5cb90bb8acae7cb2 code:
title:Discourse-Aware Neural Extractive Text Summarization year:2019 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/5e30b9d8a28a7cc102583d428f9653dfe89b86df code:
title:SG-Net: Syntax-Guided Machine Reading Comprehension year:2019 venue:AAAI task: model: dataset: pdf:https://www.semanticscholar.org/paper/67b1f8e48118bb1aa250f400d475425317bf4117 code:
title:Longformer: The Long-Document Transformer year:2020 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/71b6394ad5654f5cd0fba763768ba4e523f7bbca code:
title:ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators year:2020 venue:ICLR task: model: dataset: pdf:https://www.semanticscholar.org/paper/756810258e3419af76aff38c895c20343b0602d0 code:
title:Language Modelling for Source Code with Transformer-XL year:2020 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/78e06185eedefc37734ac7be1e25dca58062d103 code:
title:ETC: Encoding Long and Structured Data in Transformers year:2020 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/baed71eed57ad462f3ab138d4b1700a738cd5414 code:
title:Retrieval-based Neural Source Code Summarization year:2020 venue:2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/bd47bb8cdd749a3356149da6155d2dcd7458779f code:
title:DeepSumm - Deep Code Summaries using Neural Transformer Architecture year:2020 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/dd490a18152bb23966bf54325c8218329da578b9 code:
title:TAG : Type Auxiliary Guiding for Code Comment Generation year:2020 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/eccd7060c4f81e92d65601f5c7ac7cade2f68807 code:
title:ALBERT: A Lite BERT for Self-supervised Learning of Language Representations year:2019 venue:ICLR task: model: dataset: pdf:https://www.semanticscholar.org/paper/f1aeca01847df5308b4fbd9fb835e31339b51f49 code:
title:TreeCaps: Tree-Based Capsule Networks for Source Code Processing year:2020 venue:AAAI task: model: dataset: pdf:https://www.semanticscholar.org/paper/11a0bdb1a049eaeae72c38278936c1d599728f87 code:
title:Not All Attention Is All You Need year:2021 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/47cc5a99497d0f7ae17b1fb3f945ec2faf18af24 code:
title:Contextualized Code Representation Learning for Commit Message Generation year:2020 venue:Neurocomputing task: model: dataset: pdf:https://www.semanticscholar.org/paper/8062e5541faa31545f6169cad6e86a1ef1e19d64 code:
title:InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees year:2020 venue:2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/acd8e24eda17808e3528d2dfd52de1619d13241a code:
title:Bleu: a Method for Automatic Evaluation of Machine Translation year:2002 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/d7da009f457917aa381619facfa5ffae9329a6e9 code:
title:Towards automatically generating summary comments for Java methods year:2010 venue:ASE '10 task: model: dataset: pdf:https://www.semanticscholar.org/paper/d86c23307f9c590dad1a37688080b9140b11d0cc code:
title:Sequence to Sequence Learning with Neural Networks year:2014 venue:NIPS task: model: dataset: pdf:https://www.semanticscholar.org/paper/cea967b59209c6be22829699f05b8b1ac4dc092d code:
title:Effective Approaches to Attention-based Neural Machine Translation year:2015 venue:EMNLP task: model: dataset: pdf:https://www.semanticscholar.org/paper/93499a7c7f699b6630a86fad964536f9423bb6d0 code:
title:OpenNMT: Open-Source Toolkit for Neural Machine Translation year:2017 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/aab5002a22b9b4244a8329b140bd0a86021aa2d1 code:
title:Hierarchical Neural Story Generation year:2018 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/29de7c0fb3c09eaf55b20619bceaeafe72fd87a6 code:
title:Measuring Program Comprehension: A Large-Scale Field Study with Professionals year:2018 venue:IEEE Transactions on Software Engineering task: model: dataset: pdf:https://www.semanticscholar.org/paper/6bda1c64e92fce62a168973a015c84572d1ffb0d code:
title:Measuring Program Comprehension: A Large-Scale Field Study with Professionals year:2018 venue:2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/cc43bbeb3ec847249340f40c32633f4e1ac1d58b code:
title:Improving Abstractive Document Summarization with Salient Information Modeling year:2019 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/1c5d2289e7db0a99f56badb081405f6f3bff6e38 code:
title:Multi-style Generative Reading Comprehension year:2019 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/4c09d30704c0ceb128bb31ee09f957ee58d5032c code:
title:Learning Deep Transformer Models for Machine Translation year:2019 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/a39398f68ae7e042f2ef5009e31b4e6a20fd5736 code:
title:A Neural Framework for Retrieval and Summarization of Source Code year:2018 venue:2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/073bbfc1fd41a9d67dd6f568ac7e8dff5b2c9c95 code:
title:Deep Code Search year:2018 venue:2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/e033a0b29af2939fd44e5765d03380c08897a9e8 code:
title:CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning year:2019 venue:WWW task: model: dataset: pdf:https://www.semanticscholar.org/paper/b9700322c4ccbf441373973f133e2aa95e5d73b2 code:
title:Dual Supervised Learning for Natural Language Understanding and Generation year:2019 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/d833a5a729107ad1fbcd6d49f80f5677717bf048 code:
title:The program dependence graph in a software development environment year:1984 venue: task: model: dataset: pdf:https://www.semanticscholar.org/paper/cc15fc84b4f686017d66a9c1e78362c6b4ef9b52 code:
title:Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks year:2018 venue:ArXiv task: model: dataset: pdf:https://www.semanticscholar.org/paper/94eb48c1878efbe2ccff121bd600dd0fd8a75650 code:
title:Automatically generating natural language descriptions for object-related statement sequences year:2017 venue:2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) task: model: dataset: pdf:https://www.semanticscholar.org/paper/1065c31e8f3f425ae7b1b97970936bbeac28bce2 code:
title:Generating Commit Messages from Diffs using Pointer-Generator Network year:2019 venue:2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR) task: model: dataset: pdf:https://www.semanticscholar.org/paper/03f2e9c9fd3f85cafdbdb2a4ef812a562caf6ef1 code:
title:Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code year:2020 venue:2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/3944354c42ddfff7414ad06022f96c72858d5fa6 code:
title:Improved Automatic Summarization of Subroutines via Attention to File Context year:2020 venue:MSR task: model: dataset: pdf:https://www.semanticscholar.org/paper/44d95ad5402abfd4003ffc1be5872ed829bec750 code:
title:Reinforcement-Learning-Guided Source Code Summarization via Hierarchical Attention year:2020 venue:IEEE Transactions on Software Engineering task: model: dataset: pdf:https://www.semanticscholar.org/paper/6c1f6ede9b786e1ffdaab91bf346817f61706912 code:
title:Learning to Update Natural Language Comments Based on Code Changes year:2020 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/a266b37f98928f27fddd863d11b38a5563043315 code:
title:Code to Comment “Translation”: Data, Metrics, Baselining & Evaluation year:2020 venue:2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/d944bf7942297f5670192c5cd33191c26a87973e code:
title:DeepDelta: learning to repair compilation errors year:2019 venue:ESEC/SIGSOFT FSE task: model: dataset: pdf:https://www.semanticscholar.org/paper/558b72b9e7a1e4d6633c2836aba5896354d37d24 code:
title:A Neural Model for Method Name Generation from Functional Description year:2019 venue:2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER) task: model: dataset: pdf:https://www.semanticscholar.org/paper/7f21c2bb0acc70e957d26be525e0460c82dae747 code:
title:A Multi-Perspective Architecture for Semantic Code Search year:2020 venue:ACL task: model: dataset: pdf:https://www.semanticscholar.org/paper/037aa837d95b5f0edef494a2392b1788dc840a47 code:
title:Action Word Prediction for Neural Source Code Summarization year:2021 venue:2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) task: model: dataset: pdf:https://www.semanticscholar.org/paper/b40987812f754699171bcdc9fa64e952d865c93f code:
title:Retrieval-Augmented Generation for Code Summarization via Hybrid GNN year:2020 venue:ICLR task: model: dataset: pdf:https://www.semanticscholar.org/paper/ceaff192479db6faee58ae88e053b0b319cf1893 code:
title:BERTScore: Evaluating Text Generation with BERT year:2019 venue:ICLR task: model: dataset: pdf:https://www.semanticscholar.org/paper/295065d942abca0711300b2b4c39829551060578 code:
title:Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks year:2021 venue:2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) task: model: dataset: pdf:https://www.semanticscholar.org/paper/c2c7233293d55f201fe5b496234bed1914eea70e code: