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Code Structure–Guided Transformer for Source Code Summarization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Usage and usefulness of technical software documentation: An industrial case study
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An empirical analysis of the impact of software development problem factors on software maintainability
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CRaDLe: Deep code retrieval based on semantic Dependency Learning
inferredcites →https://doi.org/10.1109/ase.2019.00152openalex-snapshot
Retrieve and Refine: Exemplar-Based Neural Comment Generation
inferredcites →https://doi.org/10.1109/icpc.2013.6613830openalex-snapshot
Automatic generation of natural language summaries for Java classes
inferredcites →https://doi.org/10.1109/icse.2019.00086openalex-snapshot
A Novel Neural Source Code Representation Based on Abstract Syntax Tree
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851751openalex-snapshot
Automatic Source Code Summarization with Extended Tree-LSTM
inferredcites →https://doi.org/10.1109/saner.2015.7081848openalex-snapshot
CloCom: Mining existing source code for automatic comment generation
inferredcites →https://doi.org/10.1109/saner48275.2020.9054857openalex-snapshot
Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree
inferredcites →https://doi.org/10.1109/saner53432.2022.00013openalex-snapshot
Source Code Summarization with Structural Relative Position Guided Transformer
inferredcites →https://doi.org/10.1109/tse.2015.2465386openalex-snapshot
Automatic Source Code Summarization of Context for Java Methods
inferredcites →https://doi.org/10.1109/tse.2017.2734091openalex-snapshot
Measuring Program Comprehension: A Large-Scale Field Study with Professionals
inferredcites →https://doi.org/10.1145/1810295.1810335openalex-snapshot
Supporting program comprehension with source code summarization
inferredcites →https://doi.org/10.1145/1858996.1859006openalex-snapshot
Towards automatically generating summary comments for Java methods
inferredcites →https://doi.org/10.1145/3238147.3238206openalex-snapshot
Improving automatic source code summarization via deep reinforcement learning
inferredcites →https://doi.org/10.1145/3359591.3359735openalex-snapshot
The adverse effects of code duplication in machine learning models of code
inferredcites →https://doi.org/10.1145/3377811.3380383openalex-snapshot
Retrieval-based neural source code summarization
inferredcites →https://doi.org/10.1145/3387904.3389268openalex-snapshot
Improved Code Summarization via a Graph Neural Network
inferredcites →https://doi.org/10.1184/r1/6475913openalex-snapshot
Natural Language Models for Predicting Programming Comments
inferredcites →https://doi.org/10.1609/aaai.v32i1.11963openalex-snapshot
Automatic Generation of Text Descriptive Comments for Code Blocks
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.449openalex-snapshot
A Transformer-based Approach for Source Code Summarization
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.17openalex-snapshot
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.139openalex-snapshot
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.482openalex-snapshot
Contrastive Code Representation Learning
inferredcites →https://doi.org/10.18653/v1/p16-1078openalex-snapshot
Tree-to-Sequence Attentional Neural Machine Translation
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/p17-1099openalex-snapshot
Get To The Point: Summarization with Pointer-Generator Networks
inferredcites →https://doi.org/10.18653/v1/p19-1580openalex-snapshot
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
inferredcites →https://doi.org/10.24963/ijcai.2018/314openalex-snapshot
Summarizing Source Code with Transferred API Knowledge
inferredcites →https://doi.org/10.3390/ijgi9110674openalex-snapshot
Improved Graph Neural Networks for Spatial Networks Using Structure-Aware Sampling
inferredcites →https://doi.org/10.4230/oasics.slate.2021.14openalex-snapshot
Using Machine Learning for Vulnerability Detection and Classification
inferredcites →https://doi.org/10.48550/arxiv.1707.02275openalex-snapshot
A parallel corpus of Python functions and documentation strings for automated code documentation and code generation
inferredcites →https://doi.org/10.48550/arxiv.1810.08305openalex-snapshot
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
inferredcites →https://doi.org/10.48550/arxiv.1811.01824openalex-snapshot
Structured Neural Summarization
inferredcites →https://doi.org/10.48550/arxiv.1901.02262openalex-snapshot
Multi-style Generative Reading Comprehension
inferredcites →https://doi.org/10.48550/arxiv.2009.08366openalex-snapshot
GraphCodeBERT: Pre-training Code Representations with Data Flow
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/smr.2706openalex-snapshot
Semantic similarity loss for neural source code summarization
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A Two-Stage Framework Integrating Prompt Learning and Fine-Tuning for Code Summarization
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AdaFuse: An Adaptive Retrieval-and-Generation Framework for Code Summarization
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Retrieval-Enhanced Method Using Siamese Networks and Graph Kernel Functions for Code Summarization
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Code comment generation based on graph neural network enhanced transformer model for code understanding in open-source software ecosystems
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Deeply fusing transformer model and information retrieval with cross attention for source code summarization
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A review of automatic source code summarization
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bjEnet: a fast and accurate software bug localization method in natural language semantic space
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inferred← citeshttps://doi.org/10.1007/s13369-021-06149-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2024.103994openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107543openalex-snapshot
Automated description generation for software patches
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RaxCS: Towards cross-language code summarization with contrastive pre-training and retrieval augmentation
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CSJSS: Augmenting code summarization with joint structural semantic of abstract syntax trees
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103415openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jss.2025.112493openalex-snapshot
Variational Prefix Tuning for diverse and accurate code summarization using pre-trained language models
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112580openalex-snapshot
Context-aware code summary generation
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IntentContextCS: Intent-specific context selection for multi-intent code comment generation
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Code Parameter Summarization Based on Transformer and Fusion Strategy
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Generating Python Mutants From Bug Fixes Using Neural Machine Translation
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Automated Prompt Generation for Code Intelligence: An Empirical study and Experience in WeChat
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VADER-SC: A Model Agnostic Tool for Large Scale, AI Driven Automated Source Code Summarization
inferred← citeshttps://doi.org/10.1109/ichci67614.2025.11292568openalex-snapshot
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CodeSense: Code Summarizer for JavaScript
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An Extensive Study of the Structure Features in Transformer-based Code Semantic Summarization
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Label Smoothing Improves Neural Source Code Summarization
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Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?
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CLCoSum: Curriculum Learning-Based Code Summarization for Code Language Models
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Chaos to Clarity with Semantic Inferencing for Python Source Code Snippets
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Context-Aware Code Summarization Using Multimodal Transformer
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