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AI-Assisted Programming Tasks Using Code Embeddings and Transformers

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

inferredcites →https://doi.org/10.1007/s10664-022-10118-5openalex-snapshot
Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks
inferredcites →https://doi.org/10.1007/s10664-022-10122-9openalex-snapshot
Software system comparison with semantic source code embeddings
inferredcites →https://doi.org/10.1007/s42979-021-00566-zopenalex-snapshot
Commit2Vec: Learning Distributed Representations of Code Changes
inferredcites →https://doi.org/10.1016/j.cola.2022.101171openalex-snapshot
Program representations for predictive compilation: State of affairs in the early 20’s
inferredcites →https://doi.org/10.1016/j.eswa.2022.117607openalex-snapshot
Automatic detection of Long Method and God Class code smells through neural source code embeddings
inferredcites →https://doi.org/10.1016/j.future.2020.10.020openalex-snapshot
Pkg2Vec: Hierarchical package embedding for code authorship attribution
inferredcites →https://doi.org/10.1016/j.infsof.2022.106922openalex-snapshot
Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information
inferredcites →https://doi.org/10.1016/j.infsof.2023.107217openalex-snapshot
BERT- and TF-IDF-based feature extraction for long-lived bug prediction in FLOSS: A comparative study
inferredcites →https://doi.org/10.1016/j.isci.2024.108782openalex-snapshot
Safeguarding authenticity for mitigating the harms of generative AI: Issues, research agenda, and policies for detection, fact-checking, and ethical AI
inferredcites →https://doi.org/10.1016/j.jss.2022.111557openalex-snapshot
Efficient transformer with code token learner for code clone detection
inferredcites →https://doi.org/10.1016/j.jss.2022.111577openalex-snapshot
ExploitGen: Template-augmented exploit code generation based on CodeBERT
inferredcites →https://doi.org/10.1109/access.2020.3011744openalex-snapshot
Fret: Functional Reinforced Transformer With BERT for Code Summarization
inferredcites →https://doi.org/10.1109/access.2021.3064687openalex-snapshot
BEDetector: A Two-Channel Encoding Method to Detect Vulnerabilities Based on Binary Similarity
inferredcites →https://doi.org/10.1109/access.2022.3155558openalex-snapshot
Sequence-to-Sequence Learning-Based Conversion of Pseudo-Code to Source Code Using Neural Translation Approach
inferredcites →https://doi.org/10.1109/access.2022.3176865openalex-snapshot
Static Code Analysis Alarms Filtering Reloaded: A New Real-World Dataset and its ML-Based Utilization
inferredcites →https://doi.org/10.1109/access.2022.3226238openalex-snapshot
Predicting Duplicate in Bug Report Using Topic-Based Duplicate Learning With Fine Tuning-Based BERT Algorithm
inferredcites →https://doi.org/10.1109/access.2023.3271992openalex-snapshot
READSUM: Retrieval-Augmented Adaptive Transformer for Source Code Summarization
inferredcites →https://doi.org/10.1109/apr52552.2021.00010openalex-snapshot
Exploring Plausible Patches Using Source Code Embeddings in JavaScript
inferredcites →https://doi.org/10.1109/apsec53868.2021.00029openalex-snapshot
Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer
inferredcites →https://doi.org/10.1109/ase.2019.00011openalex-snapshot
Assessing the Generalizability of Code2vec Token Embeddings
inferredcites →https://doi.org/10.1109/ase51524.2021.9678559openalex-snapshot
On Multi-Modal Learning of Editing Source Code
inferredcites →https://doi.org/10.1109/cscs52396.2021.00027openalex-snapshot
CWE Pattern Identification using Semantical Clustering of Programming Language Keywords
inferredcites →https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00095openalex-snapshot
A Neural Embedding for Source Code: Security Analysis and CWE Lists
inferredcites →https://doi.org/10.1109/dsa52907.2021.00013openalex-snapshot
ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation
inferredcites →https://doi.org/10.1109/icpc52881.2021.00010openalex-snapshot
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts
inferredcites →https://doi.org/10.1109/icpc52881.2021.00049openalex-snapshot
API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations
inferredcites →https://doi.org/10.1109/icpc58990.2023.00026openalex-snapshot
Interpretation-based Code Summarization
inferredcites →https://doi.org/10.1109/icpc58990.2023.00027openalex-snapshot
Naturalness in Source Code Summarization. How Significant is it?
inferredcites →https://doi.org/10.1109/icse-companion55297.2022.9793799openalex-snapshot
NaturalCC: An Open-Source Toolkit for Code Intelligence
inferredcites →https://doi.org/10.1109/icse.2012.6227135openalex-snapshot
On the naturalness of software
inferredcites →https://doi.org/10.1109/icse.2019.00019openalex-snapshot
Learning to Spot and Refactor Inconsistent Method Names
inferredcites →https://doi.org/10.1109/icse43902.2021.00026openalex-snapshot
Code Prediction by Feeding Trees to Transformers
inferredcites →https://doi.org/10.1109/icse48619.2023.00063openalex-snapshot
Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation
inferredcites →https://doi.org/10.1109/icsme52107.2021.00044openalex-snapshot
Assessing Generalizability of CodeBERT
inferredcites →https://doi.org/10.1109/icsme55016.2022.00016openalex-snapshot
BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT
inferredcites →https://doi.org/10.1109/ijcnn55064.2022.9892013openalex-snapshot
Summarizing Source Code from Structure and Context
inferredcites →https://doi.org/10.1109/ivmem57067.2022.9983956openalex-snapshot
Prediction of Types in Python with Pre-trained Graph Neural Networks
inferredcites →https://doi.org/10.1109/iwsc55060.2022.00015openalex-snapshot
CodeBERT for Code Clone Detection: A Replication Study
inferredcites →https://doi.org/10.1109/msr52588.2021.00063openalex-snapshot
Applying CodeBERT for Automated Program Repair of Java Simple Bugs
inferredcites →https://doi.org/10.1109/niles50944.2020.9257935openalex-snapshot
Neural Machine Based Mobile Applications Code Translation
inferredcites →https://doi.org/10.1109/saner.2019.8667969openalex-snapshot
DeepLink: A Code Knowledge Graph Based Deep Learning Approach for Issue-Commit Link Recovery
inferredcites →https://doi.org/10.1109/saner.2019.8667995openalex-snapshot
Bilateral Dependency Neural Networks for Cross-Language Algorithm Classification
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/saner53432.2022.00112openalex-snapshot
Assemble Foundation Models for Automatic Code Summarization
inferredcites →https://doi.org/10.1109/scam55253.2022.00014openalex-snapshot
An Empirical Study of Code Smells in Transformer-based Code Generation Techniques
inferredcites →https://doi.org/10.1109/tr.2023.3236404openalex-snapshot
AttSum: A Deep Attention-Based Summarization Model for Bug Report Title Generation
inferredcites →https://doi.org/10.1109/tse.2021.3128234openalex-snapshot
An Empirical Study on the Usage of Transformer Models for Code Completion
inferredcites →https://doi.org/10.1109/tse.2022.3147265openalex-snapshot
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code
inferredcites →https://doi.org/10.1109/tse.2022.3156637openalex-snapshot
SeqTrans: Automatic Vulnerability Fix Via Sequence to Sequence Learning
inferredcites →https://doi.org/10.1109/tse.2022.3185458openalex-snapshot
Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach
inferredcites →https://doi.org/10.1126/science.abq1158openalex-snapshot
Competition-level code generation with AlphaCode
inferredcites →https://doi.org/10.1142/s1793351x20500087openalex-snapshot
Vulnerability Rating of Source Code with Token Embedding and Combinatorial Algorithms
inferredcites →https://doi.org/10.1145/3303772.3303813openalex-snapshot
user2code2vec
inferredcites →https://doi.org/10.1145/3324884.3416591openalex-snapshot
Multi-task learning based pre-trained language model for code completion
inferredcites →https://doi.org/10.1145/3368089.3417058openalex-snapshot
IntelliCode compose: code generation using transformer
inferredcites →https://doi.org/10.1145/3397271.3401215openalex-snapshot
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback
inferredcites →https://doi.org/10.1145/3416505.3423564openalex-snapshot
DeepIaC: deep learning-based linguistic anti-pattern detection in IaC
inferredcites →https://doi.org/10.1145/3416506.3423580openalex-snapshot
Towards demystifying dimensions of source code embeddings
inferredcites →https://doi.org/10.1145/3428301openalex-snapshot
Flow2Vec: value-flow-based precise code embedding
inferredcites →https://doi.org/10.1145/3463274.3463332openalex-snapshot
CCMC: Code Completion with a Memory Mechanism and a Copy Mechanism
inferredcites →https://doi.org/10.1145/3468264.3468567openalex-snapshot
Lightweight global and local contexts guided method name recommendation with prior knowledge
inferredcites →https://doi.org/10.1145/3468264.3468611openalex-snapshot
Empirical study of transformers for source code
inferredcites →https://doi.org/10.1145/3491101.3519665openalex-snapshot
Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models
inferredcites →https://doi.org/10.1145/3510003.3510067openalex-snapshot
AutoTransform
inferredcites →https://doi.org/10.1145/3510003.3510141openalex-snapshot
TOGA
inferredcites →https://doi.org/10.1145/3510003.3510172openalex-snapshot
CodeFill
inferredcites →https://doi.org/10.1145/3524459.3527350openalex-snapshot
Towards JavaScript program repair with generative pre-trained transformer (GPT-2)
inferredcites →https://doi.org/10.1145/3524610.3527903openalex-snapshot
GypSum
inferredcites →https://doi.org/10.1145/3524610.3527907openalex-snapshot
M2TS
inferredcites →https://doi.org/10.1145/3524842.3528456openalex-snapshot
GraphCode2Vec
inferredcites →https://doi.org/10.1145/3533767.3534371openalex-snapshot
Path-sensitive code embedding via contrastive learning for software vulnerability detection
inferredcites →https://doi.org/10.1145/3540250.3549162openalex-snapshot
NatGen: generative pre-training by “naturalizing” source code
inferredcites →https://doi.org/10.1145/3540250.3569444openalex-snapshot
AI-assisted programming: applications, user experiences, and neuro-symbolic techniques (keynote)
inferredcites →https://doi.org/10.1145/3542944openalex-snapshot
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks
inferredcites →https://doi.org/10.1145/3544548.3580919openalex-snapshot
Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming
inferredcites →https://doi.org/10.1145/3544549.3583943openalex-snapshot
A Case Study on Scaffolding Exploratory Data Analysis for AI Pair Programmers
inferredcites →https://doi.org/10.1145/3544902.3546251openalex-snapshot
MMF3: Neural Code Summarization Based on Multi-Modal Fine-Grained Feature Fusion
inferredcites →https://doi.org/10.1145/3545258.3545260openalex-snapshot
EL-CodeBert: Better Exploiting CodeBert to Support Source Code-Related Classification Tasks
inferredcites →https://doi.org/10.1145/3587102.3588815openalex-snapshot
How ChatGPT Will Change Software Engineering Education
inferredcites →https://doi.org/10.1145/3589996openalex-snapshot
Taking Flight with Copilot
inferredcites →https://doi.org/10.1145/3617367openalex-snapshot
“It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers
inferredcites →https://doi.org/10.1186/s44147-022-00159-4openalex-snapshot
MarianCG: a code generation transformer model inspired by machine translation
inferredcites →https://doi.org/10.14778/3611479.3611527openalex-snapshot
How Large Language Models Will Disrupt Data Management
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.309openalex-snapshot
Gated Transformer for Robust De-noised Sequence-to-Sequence Modelling
inferredcites →https://doi.org/10.18653/v1/d19-1671openalex-snapshot
Neural News Recommendation with Multi-Head Self-Attention
inferredcites →https://doi.org/10.18653/v1/n18-2028openalex-snapshot
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
inferredcites →https://doi.org/10.18653/v1/n18-2074openalex-snapshot
Self-Attention with Relative Position Representations
inferredcites →https://doi.org/10.32604/cmc.2022.019884openalex-snapshot
DLBT: Deep Learning-Based Transformer to Generate Pseudo-Code from Source Code
inferredcites →https://doi.org/10.3390/app11114793openalex-snapshot
An Empirical Study on Software Defect Prediction Using CodeBERT Model
inferredcites →https://doi.org/10.3390/app122312463openalex-snapshot
Machine Learning-Based Security Pattern Recognition Techniques for Code Developers
inferredcites →https://doi.org/10.3390/math10040604openalex-snapshot
Retrieval-Based Transformer Pseudocode Generation
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.ecrts.2023.7openalex-snapshot
Bootstrapping a Data-Set and Model for Question-Answering in Portuguese (Short Paper)
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-62316-5_1openalex-snapshot
Introduction to Advances in Artificial Intelligence-Empowered Decision Support Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-78440-8_20openalex-snapshot
Evolutionary Algorithms in Code Smell Detection: A Feature Selection Approach for Software Engineering
inferred← citeshttps://doi.org/10.1007/978-3-032-18346-0_45openalex-snapshot
Task-Specific Code Synthesis for Data Pipelines Using Transformer-Based LLM Agents
inferred← citeshttps://doi.org/10.1007/978-3-032-31141-2_9openalex-snapshot
A Hybrid Transformer-GNN Architecture for Code Understanding
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Automated code review systems using CodeBERT with multi-anchor space-aware temporal convolutional neural network
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130991openalex-snapshot
CSLLM: Code-Specific Large Language Models—A Survey
inferred← citeshttps://doi.org/10.1016/j.im.2026.104306openalex-snapshot
The impact of generative artificial intelligence on software development performance: a study based on the theory of technology dominance
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Developer Discourse on Generative AI Programming Tools on Reddit: A Computational Grounded Theory Analysis
inferred← citeshttps://doi.org/10.1109/access.2024.3486365openalex-snapshot
Assessing GitHub Copilot in Solidity Development: Capabilities, Testing, and Bug Fixing
inferred← citeshttps://doi.org/10.1109/access.2025.3589285openalex-snapshot
Microservices-Driven Automation in Full-Stack Development: Bridging Efficiency and Innovation With FSMicroGenerator
inferred← citeshttps://doi.org/10.1109/educon67543.2026.11574057openalex-snapshot
WIP: AI-Driven Support for Adaptive Learning in Computer Programming Education Based on Established Pedagogical Theories
inferred← citeshttps://doi.org/10.1109/icnsoc66817.2025.00111openalex-snapshot
AI-Assisted Debugging Tools for Enhancing Developer Productivity in Large Codebases Using Genetic Programming Algorithms
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Technology Migration, Adaptability and Function Optimization of Advanced Application System for Holographic Monitoring of Hydropower Plants
inferred← citeshttps://doi.org/10.1109/summa64428.2024.10803670openalex-snapshot
Source Code Embeddings Based on Control Flow Graphs and Markov Chains for Program Classification
inferred← citeshttps://doi.org/10.23962/ajic.i35.21309openalex-snapshot
Detection of GenAI-produced and student-written C# code: A comparative study of classifier algorithms and code stylometry features
inferred← citeshttps://doi.org/10.32628/cseit251112219openalex-snapshot
The Impact of Generative AI on Modern Software Development: Revolutionizing the Development Lifecycle
inferred← citeshttps://doi.org/10.3390/educsci15010080openalex-snapshot
CodeContrast: A Contrastive Learning Approach for Generating Coherent Programming Exercises
inferred← citeshttps://doi.org/10.3390/software4010003openalex-snapshot
The Scalable Detection and Resolution of Data Clumps Using a Modular Pipeline with ChatGPT
inferred← citeshttps://doi.org/10.48084/etasr.15857openalex-snapshot
Context-Aware Code Summarization Using Multimodal Transformer
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