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Deep code comment generation

https://doi.org/10.1145/3196321.3196334

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Automated documentation inference to explain failed tests

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AutoComment: Mining question and answer sites for automatic comment generation

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Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation

inferredcites →https://doi.org/10.1109/ase.2017.8115626openalex-snapshot

Automatically generating commit messages from diffs using neural machine translation

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Evaluating source code summarization techniques: Replication and expansion

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Automatic generation of natural language summaries for Java classes

inferredcites →https://doi.org/10.1109/saner.2015.7081848openalex-snapshot

CloCom: Mining existing source code for automatic comment generation

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Measuring Program Comprehension: A Large-Scale Field Study with Professionals

inferredcites →https://doi.org/10.1109/wcre.2010.13openalex-snapshot

On the Use of Automated Text Summarization Techniques for Summarizing Source Code

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A Machine Learning Based Approach for Evaluating Clone Detection Tools for a Generalized and Accurate Precision

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Supporting program comprehension with source code summarization

inferredcites →https://doi.org/10.1145/1858996.1859005openalex-snapshot

Automatically documenting program changes

inferredcites →https://doi.org/10.1145/1858996.1859006openalex-snapshot

Towards automatically generating summary comments for Java methods

inferredcites →https://doi.org/10.1145/1985793.1985808openalex-snapshot

Automatically detecting and describing high level actions within methods

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A statistical semantic language model for source code

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Automatic documentation generation via source code summarization of method context

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Learning natural coding conventions

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Predicting Program Properties from "Big Code"

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Predicting Program Properties from "Big Code"

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Suggesting accurate method and class names

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Automatically learning semantic features for defect prediction

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On the "naturalness" of buggy code

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Deep API learning

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Deep learning code fragments for code clone detection

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Are deep neural networks the best choice for modeling source code?

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A Survey of Machine Learning for Big Code and Naturalness

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Long Short-Term Memory

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Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

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Natural Language Models for Predicting Programming Comments

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Convolutional Neural Networks over Tree Structures for Programming Language Processing

inferredcites →https://doi.org/10.18653/v1/d15-1044openalex-snapshot

A Neural Attention Model for Abstractive Sentence Summarization

inferredcites →https://doi.org/10.18653/v1/p16-1195openalex-snapshot

Summarizing Source Code using a Neural Attention Model

inferredcites →https://doi.org/10.18653/v1/p17-1041openalex-snapshot

A Syntactic Neural Model for General-Purpose Code Generation

inferredcites →https://doi.org/10.18653/v1/p17-2045openalex-snapshot

A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes

inferredcites →https://doi.org/10.18653/v1/p17-4012openalex-snapshot

OpenNMT: Open-Source Toolkit for Neural Machine Translation

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DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning

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BLEU

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Large Scale Language Modeling in Automatic Speech Recognition

inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot

Sequence to Sequence Learning with Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-snapshot

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

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A Neural Conversational Model

inferredcites →https://doi.org/10.48550/arxiv.1510.07211openalex-snapshot

On End-to-End Program Generation from User Intention by Deep Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1512.01337openalex-snapshot

Neural Generative Question Answering

inferredcites →https://doi.org/10.48550/arxiv.1609.08144openalex-snapshot

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

inferredcites →https://doi.org/10.5555/2337223.2337322openalex-snapshot

On the naturalness of software

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An open-source natural language processing toolkit to support software development: addressing automatic bug detection, code summarisation and code search

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An open-source natural language processing toolkit to support software development: addressing automatic bug detection, code summarisation and code search

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Automatic Code Documentation with Syntax Trees and GPT: Alleviating Software Development's Most Redundant Task

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Cross-Language Source Code Clone Detection Based on Graph Neural Network

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Beyond Code: Is There a Difference between Comments in Visual and Textual Languages?

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CodeBERT‐Attack: Adversarial attack against source code deep learning models via pre‐trained model

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GRRLN: Gated Recurrent Residual Learning Networks for code clone detection

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Unsupervised software repositories mining and its application to code search

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Does your code need comment?

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Effective approaches to combining lexical and syntactical information for code summarization

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Code samples summarization for knowledge exchange in developer community

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Context‐based transfer learning for low resource code summarization

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PyScribe –Learning to describe python code

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Code Summarization with Abstract Syntax Tree

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A Combined Method for Usage of NLP Libraries Towards Analyzing Software Documents

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DeepClone: Modeling Clones to Generate Code Predictions

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Exploiting API Description Information to Improve Code Comment Generation

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Multi-modal Code Summarization Fusing Local API Dependency Graph and AST

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Intelligent Code Comments Morphing and Generation

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A Re-assessment of Code2Vec

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The Unexpected Blocking of Code Understanding in AI-Based Code Summarization: Observations and Concerns from a Study on Cross-Project Learning Performance

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Black-Box Reconstruction Attacks on LLMs: A Preliminary Study in Code Summarization

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Code Summarization with Project-Specific Features

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Leveraging Conversational AI for Accelerating User-Driven Software Testing

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Leveraging Large Language Models in Code Question Answering: Baselines and Issues

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A Two-Stage Framework Integrating Prompt Learning and Fine-Tuning for Code Summarization

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NeuralDoc-Automating Code Translation Using Machine Learning

inferred← citeshttps://doi.org/10.1007/978-981-19-0863-7_23openalex-snapshot

Source Code Summarization & Categorization of Python and R Codes Using Deep Learning Technique

inferred← citeshttps://doi.org/10.1007/978-981-95-3483-8_21openalex-snapshot

Low-Resource Project-Specific Code Summarizaiton: On the Importance of Datasets

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Structure-Aware Transformer for Code Snippet Summarization

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AdaFuse: An Adaptive Retrieval-and-Generation Framework for Code Summarization

inferred← citeshttps://doi.org/10.1007/978-981-97-0801-7_7openalex-snapshot

FCSO: Source Code Summarization by Fusing Multiple Code Features and Ensuring Self-consistency Output

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Active Learning for Low-Resource Project-Specific Code Summarization

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Distilled GPT for source code summarization

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Bash comment generation via data augmentation and semantic-aware CodeBERT

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Tab: template-aware bug report title generation via two-phase fine-tuned models

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On-demand generation of high-quality software engineering datasets using large language models and ontologies

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Domain-specific machine translation with recurrent neural network for software localization

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Deep code comment generation with hybrid lexical and syntactical information

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RePOR: Mimicking humans on refactoring tasks. Are we there yet?

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CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees

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Mutation analysis for evaluating code translation

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Transformer-based code model with compressed hierarchy representation

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DeepCodeProbe: Evaluating Code Representation Quality in Models Trained on Code

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Keyword-guided abstractive code summarization via incorporating structural and contextual information

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Yet another combination of IR- and neural-based comment generation

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CLeBPI: Contrastive Learning for Bug Priority Inference

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Automatic smart contract comment generation via large language models and in-context learning

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Automated description generation for software patches

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GNPSum: A code summarization enhancement framework based on Graph Node Position

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CSJSS: Augmenting code summarization with joint structural semantic of abstract syntax trees

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SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction

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Augmenting Java method comments generation with context information based on neural networks

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Automated defect identification via path analysis-based features with transfer learning

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Neural joint attention code search over structure embeddings for software Q&A sites

inferred← citeshttps://doi.org/10.1016/j.jss.2021.110971openalex-snapshot

Characterizing top ranked code examples in Google

inferred← citeshttps://doi.org/10.1016/j.jss.2021.111011openalex-snapshot

A hybrid code representation learning approach for predicting method names

inferred← citeshttps://doi.org/10.1016/j.jss.2021.111036openalex-snapshot

SeCNN: A semantic CNN parser for code comment generation

inferred← citeshttps://doi.org/10.1016/j.jss.2021.111108openalex-snapshot

Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks

inferred← citeshttps://doi.org/10.1016/j.jss.2021.111160openalex-snapshot

PRHAN: Automated Pull Request Description Generation Based on Hybrid Attention Network

inferred← citeshttps://doi.org/10.1016/j.jss.2022.111257openalex-snapshot

Automatic source code summarization with graph attention networks

inferred← citeshttps://doi.org/10.1016/j.jss.2022.111495openalex-snapshot

GT-SimNet: Improving code automatic summarization via multi-modal similarity networks

inferred← citeshttps://doi.org/10.1016/j.jss.2024.112087openalex-snapshot

Beyond code: Is there a difference between comments in visual and textual languages?

inferred← citeshttps://doi.org/10.1016/j.jss.2024.112159openalex-snapshot

EvaluateXAI: A framework to evaluate the reliability and consistency of rule-based XAI techniques for software analytics tasks

inferred← citeshttps://doi.org/10.1016/j.jss.2025.112590openalex-snapshot

The icing on the cake: Enhancing Code Pre-trained models-based program repair with multi-source inputs and fix templates

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126385openalex-snapshot

An data augmentation method for source code summarization

inferred← citeshttps://doi.org/10.1016/j.patrec.2025.10.007openalex-snapshot

Comprehending C codes with LLMs: Effective comment generation through retrieval and reasoning

inferred← citeshttps://doi.org/10.1016/j.visinf.2024.09.005openalex-snapshot

Visual exploration of multi-dimensional data via rule-based sample embedding

inferred← citeshttps://doi.org/10.1049/sfw2.12064openalex-snapshot

A systematic mapping study of source code representation for deep learning in software engineering

inferred← citeshttps://doi.org/10.1049/sfw2/3706673openalex-snapshot

Code Parameter Summarization Based on Transformer and Fusion Strategy

inferred← citeshttps://doi.org/10.1049/sfw2/7163249openalex-snapshot

Design Pattern Prediction From Source Code Using LLM–Based Feature Engineering and SVM Classification

inferred← citeshttps://doi.org/10.1051/wujns/2023286474openalex-snapshot

Improve Code Summarization via Prompt-Tuning CodeT5

inferred← citeshttps://doi.org/10.1051/wujns/2025303222openalex-snapshot

AI Chain-Driven Control Flow Graph Generation for Multiple Programming Language

inferred← citeshttps://doi.org/10.1109/access.2019.2931579openalex-snapshot

A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques

inferred← citeshttps://doi.org/10.1109/access.2020.2966532openalex-snapshot

Review Sharing via Deep Semi-Supervised Code Clone Detection

inferred← citeshttps://doi.org/10.1109/access.2020.3011744openalex-snapshot

Fret: Functional Reinforced Transformer With BERT for Code Summarization

inferred← citeshttps://doi.org/10.1109/access.2021.3055955openalex-snapshot

A Multi-Module Based Method for Generating Natural Language Descriptions of Code Fragments

inferred← citeshttps://doi.org/10.1109/access.2022.3196347openalex-snapshot

Code Generation Using Machine Learning: A Systematic Review

inferred← citeshttps://doi.org/10.1109/access.2023.3268638openalex-snapshot

ALSI-Transformer: Transformer-Based Code Comment Generation With Aligned Lexical and Syntactic Information

inferred← citeshttps://doi.org/10.1109/access.2024.3354390openalex-snapshot

Integrating Non-Fourier and AST-Structural Relative Position Representations Into Transformer-Based Model for Source Code Summarization

inferred← citeshttps://doi.org/10.1109/access.2024.3362896openalex-snapshot

DP-CCL: A Supervised Contrastive Learning Approach Using CodeBERT Model in Software Defect Prediction

inferred← citeshttps://doi.org/10.1109/aiim64537.2024.10934152openalex-snapshot

A Code Comment Generation Method Based on Information Retrieval and Code Structure

inferred← citeshttps://doi.org/10.1109/apsec48747.2019.00076openalex-snapshot

Neural Comment Generation for Source Code with Auxiliary Code Classification Task

inferred← citeshttps://doi.org/10.1109/apsec53868.2021.00029openalex-snapshot

Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer

inferred← citeshttps://doi.org/10.1109/apsec57359.2022.00047openalex-snapshot

Multi-Perspective Alignment Mechanism for Code Search

inferred← citeshttps://doi.org/10.1109/apsec65559.2024.00013openalex-snapshot

Analyzing and Detecting Toxicities in Developer Online Chatrooms: A Fine-Grained Taxonomy and Automated Detection Approach

inferred← citeshttps://doi.org/10.1109/apsec65559.2024.00035openalex-snapshot

Learning Heterogeneous Abstract Code Graph Representations for Program Comprehension

inferred← citeshttps://doi.org/10.1109/ase.2019.00011openalex-snapshot

Assessing the Generalizability of Code2vec Token Embeddings

inferred← citeshttps://doi.org/10.1109/ase.2019.00026openalex-snapshot

Automatic Generation of Pull Request Descriptions

inferred← citeshttps://doi.org/10.1109/ase.2019.00152openalex-snapshot

Retrieve and Refine: Exemplar-Based Neural Comment Generation

inferred← citeshttps://doi.org/10.1109/ase.2019.00162openalex-snapshot

Boosting Neural Commit Message Generation with Code Semantic Analysis

inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678520openalex-snapshot

Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code

inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678552openalex-snapshot

Automating User Notice Generation for Smart Contract Functions

inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678622openalex-snapshot

DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning

inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678724openalex-snapshot

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization

inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678864openalex-snapshot

Understanding Code Fragments with Issue Reports

inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678882openalex-snapshot

AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00045openalex-snapshot

Learning to Locate and Describe Vulnerabilities

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00076openalex-snapshot

Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00090openalex-snapshot

Revisiting and Improving Retrieval-Augmented Deep Assertion Generation

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00112openalex-snapshot

Using Deep Learning to Automatically Improve Code Readability

inferred← citeshttps://doi.org/10.1109/ase56229.2023.00155openalex-snapshot

Merge Conflict Resolution: Classification or Generation?

inferred← citeshttps://doi.org/10.1109/ase63991.2025.00186openalex-snapshot

Mixture-of-Experts Low-Rank Adaptation for Multilingual Code Summarization

inferred← citeshttps://doi.org/10.1109/aswec.2018.00011openalex-snapshot

Generating Pseudo-Code from Source Code Using Deep Learning

inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006577openalex-snapshot

Learning to Generate Diverse and Authentic Reviews via an Encoder-Decoder Model with Transformer and GRU

inferred← citeshttps://doi.org/10.1109/cec55065.2022.9870312openalex-snapshot

Multi-objective Grammar-guided Genetic Programming with Code Similarity Measurement for Program Synthesis

inferred← citeshttps://doi.org/10.1109/compsac.2018.00065openalex-snapshot

Characterizing Common and Domain-Specific Package Bugs: A Case Study on Ubuntu

inferred← citeshttps://doi.org/10.1109/compsac48688.2020.0-153openalex-snapshot

Smart Contracts Vulnerability Auditing with Multi-semantics

inferred← citeshttps://doi.org/10.1109/compsac57700.2023.00119openalex-snapshot

TBCUP: A Transformer-based Code Comments Updating Approach

inferred← citeshttps://doi.org/10.1109/cscloud-edgecom58631.2023.00037openalex-snapshot

BContext2Name: Naming Functions in Stripped Binaries with Multi-Label Learning and Neural Networks

inferred← citeshttps://doi.org/10.1109/dessert50317.2020.9125003openalex-snapshot

A Deep Learning Approach to Locate Buggy Files

inferred← citeshttps://doi.org/10.1109/dsa52907.2021.00013openalex-snapshot

ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation

inferred← citeshttps://doi.org/10.1109/dsa59317.2023.00015openalex-snapshot

Study on Automatic Code Summary Generation Method based on Graph Neural Network

inferred← citeshttps://doi.org/10.1109/dsa59317.2023.00124openalex-snapshot

On the Effectiveness of Graph Data Augmentation for Source Code Learning

inferred← citeshttps://doi.org/10.1109/dsc55868.2022.00059openalex-snapshot

An Automatic Code Generation Method Based on Sequence Generative Adversarial Network

inferred← citeshttps://doi.org/10.1109/dsins60115.2023.10455451openalex-snapshot

Sparse Attention-Based Neural Networks for Code Classification

inferred← citeshttps://doi.org/10.1109/educon46332.2021.9454112openalex-snapshot

Work in Progress: An Automated Management System for References in Programming Code

inferred← citeshttps://doi.org/10.1109/frse58934.2023.00016openalex-snapshot

A Method for Automatic Code Comment Generation Based on Different Keyword Sequences

inferred← citeshttps://doi.org/10.1109/gcat66372.2025.11368433openalex-snapshot

LLM-Augmented Software Documentation Generator with Contextual Memory

inferred← citeshttps://doi.org/10.1109/histelcon64051.2025.11285955openalex-snapshot

Software Nostalgia: State of the Art on Software Preservation

inferred← citeshttps://doi.org/10.1109/hora61326.2024.10550711openalex-snapshot

Source Code Summarization & Comment Generation with NLP : A New Index Proposal

inferred← citeshttps://doi.org/10.1109/iccc51575.2020.9345066openalex-snapshot

Utilizing Keywords in Source Code to Improve Code Summarization

inferred← citeshttps://doi.org/10.1109/iccece61317.2024.10504240openalex-snapshot

MMCS: A Code Summarization Approach Based on Multi-Modal Feature Enhancement

inferred← citeshttps://doi.org/10.1109/iccq65694.2025.11314566openalex-snapshot

Multilingual Code Comment Translation: A Case Study on Chinese, English, and Russian

inferred← citeshttps://doi.org/10.1109/iccse51940.2021.9569318openalex-snapshot

Automated Student Code Scoring by Analyzing Grammatical and Semantic Information of Code

inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00171openalex-snapshot

Natural Language Generation Meets Data Visualization: Vis-to-Text and its Duality with Text-to-Vis

inferred← citeshttps://doi.org/10.1109/iceccs54210.2022.00026openalex-snapshot

Combining Global and Local Representations of Source Code for Method Naming

inferred← citeshttps://doi.org/10.1109/icecet61485.2024.10698405openalex-snapshot

Extending the Frontier of ChatGPT: Code Generation and Debugging

inferred← citeshttps://doi.org/10.1109/iciscois56541.2023.10100539openalex-snapshot

Comment Generator for Java using Deep Learning

inferred← citeshttps://doi.org/10.1109/iciss67859.2026.11453513openalex-snapshot

A Dual-Architecture Approach for Automatic Code Comment Generation: Integrating Structural Features and Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/iconat66879.2025.11362875openalex-snapshot

Automated Code Description: Practical Linguistic Systems for Agile Development Environments

inferred← citeshttps://doi.org/10.1109/icpc.2019.00021openalex-snapshot

Neural Detection of Semantic Code Clones Via Tree-Based Convolution

inferred← citeshttps://doi.org/10.1109/icpc.2019.00054openalex-snapshot

Recommending Comprehensive Solutions for Programming Tasks by Mining Crowd Knowledge

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