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Neural software analysis

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What this work says

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

inferredcites →https://doi.org/10.1109/ase.2019.00064openalex-snapshot

DIRE: A Neural Approach to Decompiled Identifier Naming

inferredcites →https://doi.org/10.1109/icse.2012.6227135openalex-snapshot

On the naturalness of software

inferredcites →https://doi.org/10.1109/icse.2019.00021openalex-snapshot

On Learning Meaningful Code Changes Via Neural Machine Translation

inferredcites →https://doi.org/10.1109/icse.2019.00045openalex-snapshot

NL2Type: Inferring JavaScript Function Types from Natural Language Information

inferredcites →https://doi.org/10.1109/icse43902.2021.00026openalex-snapshot

Code Prediction by Feeding Trees to Transformers

inferredcites →https://doi.org/10.1109/icse43902.2021.00059openalex-snapshot

IdBench: Evaluating Semantic Representations of Identifier Names in Source Code

inferredcites →https://doi.org/10.1109/tse.2019.2940179openalex-snapshot

SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair

inferredcites →https://doi.org/10.1145/2676726.2677009openalex-snapshot

Predicting Program Properties from "Big Code"

inferredcites →https://doi.org/10.1145/2775051.2677009openalex-snapshot

Predicting Program Properties from "Big Code"

inferredcites →https://doi.org/10.1145/2970276.2970326openalex-snapshot

Deep learning code fragments for code clone detection

inferredcites →https://doi.org/10.1145/3180155.3180167openalex-snapshot

Deep code search

inferredcites →https://doi.org/10.1145/3211346.3211353openalex-snapshot

Retrieval on source code: a neural code search

inferredcites →https://doi.org/10.1145/3236024.3236051openalex-snapshot

Deep learning type inference

inferredcites →https://doi.org/10.1145/3276517openalex-snapshot

DeepBugs: a learning approach to name-based bug detection

inferredcites →https://doi.org/10.1145/3290353openalex-snapshot

code2vec: learning distributed representations of code

inferredcites →https://doi.org/10.1145/3360594openalex-snapshot

AutoPandas: neural-backed generators for program synthesis

inferredcites →https://doi.org/10.1145/3368089.3409715openalex-snapshot

TypeWriter: neural type prediction with search-based validation

inferredcites →https://doi.org/10.1145/3368089.3417058openalex-snapshot

IntelliCode compose: code generation using transformer

inferredcites →https://doi.org/10.1145/3377811.3380342openalex-snapshot

Big code != big vocabulary

inferredcites →https://doi.org/10.1145/3377811.3380345openalex-snapshot

DLFix

inferredcites →https://doi.org/10.1145/3387940.3392181openalex-snapshot

Learning to Fix Build Errors with Graph2Diff Neural Networks

inferredcites →https://doi.org/10.1145/3395363.3397356openalex-snapshot

Scaffle: bug localization on millions of files

inferredcites →https://doi.org/10.1145/3428293openalex-snapshot

Neural reverse engineering of stripped binaries using augmented control flow graphs

inferredcites →https://doi.org/10.14722/ndss.2018.23158openalex-snapshot

VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

inferredcites →https://doi.org/10.1609/aaai.v30i1.10139openalex-snapshot

Convolutional Neural Networks over Tree Structures for Programming Language Processing

inferredcites →https://doi.org/10.1609/aaai.v31i1.10742openalex-snapshot

DeepFix: Fixing Common C Language Errors by Deep Learning

inferredcites →https://doi.org/10.1609/aaai.v34i05.6382openalex-snapshot

Associating Natural Language Comment and Source Code Entities

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.1310.4546openalex-snapshot

Distributed Representations of Words and Phrases and their Compositionality

inferredcites →https://doi.org/10.48550/arxiv.1602.03001openalex-snapshot

A Convolutional Attention Network for Extreme Summarization of Source Code

inferredcites →https://doi.org/10.48550/arxiv.1703.07469openalex-snapshot

RobustFill: Neural Program Learning under Noisy I/O

inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-snapshot

Attention Is All You Need

inferredcites →https://doi.org/10.48550/arxiv.2001.00059openalex-snapshot

Learning and Evaluating Contextual Embedding of Source Code

inferredcites →https://doi.org/10.48550/arxiv.2005.02161openalex-snapshot

LambdaNet: Probabilistic Type Inference using Graph Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.2006.03511openalex-snapshot

Unsupervised Translation of Programming Languages

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

On the naturalness of software

inferredcites →https://doi.org/10.6084/m9.figshare.14128508openalex-snapshot

HOPPITY: LEARNING GRAPH TRANSFORMATIONS TO DETECT AND FIX BUGS IN PROGRAMS

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10664-021-10029-xopenalex-snapshot

Deep security analysis of program code

inferred← citeshttps://doi.org/10.1007/s40572-025-00514-6openalex-snapshot

Navigating the AI Frontier in Toxicology: Trends, Trust, and Transformation

inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678712openalex-snapshot

Thinking Like a Developer? Comparing the Attention of Humans with Neural Models of Code

inferred← citeshttps://doi.org/10.1109/ase63991.2025.00234openalex-snapshot

Understanding Software Engineering Agents: A Study of Thought-Action-Result Trajectories

inferred← citeshttps://doi.org/10.1109/icse43902.2021.00059openalex-snapshot

IdBench: Evaluating Semantic Representations of Identifier Names in Source Code

inferred← citeshttps://doi.org/10.1109/icse48619.2023.00081openalex-snapshot

When to Say What: Learning to Find Condition-Message Inconsistencies

inferred← citeshttps://doi.org/10.1109/icse55347.2025.00215openalex-snapshot

Treefix: Enabling Execution with a Tree of Prefixes

inferred← citeshttps://doi.org/10.1109/icst62969.2025.10989014openalex-snapshot

On Accelerating Deep Neural Network Mutation Analysis by Neuron and Mutant Clustering

inferred← citeshttps://doi.org/10.1109/mc.2025.3543181openalex-snapshot

AI for Productivity: Transforming Enterprise Software Development

inferred← citeshttps://doi.org/10.1109/ms.2024.3357787openalex-snapshot

The Fine Balance Between Helping With Your Job and Taking It: AI Code Assistants Come to the Fore

inferred← citeshttps://doi.org/10.1109/msr66628.2025.00086openalex-snapshot

Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

inferred← citeshttps://doi.org/10.1109/tse.2023.3281275openalex-snapshot

Multi-Granularity Detector for Vulnerability Fixes

inferred← citeshttps://doi.org/10.1109/tse.2023.3334955openalex-snapshot

An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation

inferred← citeshttps://doi.org/10.1109/tse.2024.3376387openalex-snapshot

Automated Code Editing With Search-Generate-Modify

inferred← citeshttps://doi.org/10.1109/tse.2024.3519159openalex-snapshot

ChatAssert: LLM-Based Test Oracle Generation With External Tools Assistance

inferred← citeshttps://doi.org/10.1145/3519939.3523449openalex-snapshot

Finding the Dwarf: Recovering Precise Types from WebAssembly Binaries

inferred← citeshttps://doi.org/10.1145/3524842.3528505openalex-snapshot

TSSB-3M

inferred← citeshttps://doi.org/10.1145/3540250.3549128openalex-snapshot

Generating realistic vulnerabilities via neural code editing: an empirical study

inferred← citeshttps://doi.org/10.1145/3540250.3549147openalex-snapshot

NeuDep: neural binary memory dependence analysis

inferred← citeshttps://doi.org/10.1145/3540250.3549162openalex-snapshot

NatGen: generative pre-training by “naturalizing” source code

inferred← citeshttps://doi.org/10.1145/3551349.3556903openalex-snapshot

CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code

inferred← citeshttps://doi.org/10.1145/3551349.3559514openalex-snapshot

Detecting Inconsistencies in If-Condition-Raise Statements

inferred← citeshttps://doi.org/10.1145/3565971openalex-snapshot

Code Search: A Survey of Techniques for Finding Code

inferred← citeshttps://doi.org/10.1145/3597926.3598050openalex-snapshot

Beware of the Unexpected: Bimodal Taint Analysis

inferred← citeshttps://doi.org/10.1145/3611643.3616254openalex-snapshot

LExecutor: Learning-Guided Execution

inferred← citeshttps://doi.org/10.1145/3643742openalex-snapshot

DyPyBench: A Benchmark of Executable Python Software

inferred← citeshttps://doi.org/10.1145/3650212.3652141openalex-snapshot

Multi-modal Learning for WebAssembly Reverse Engineering

inferred← citeshttps://doi.org/10.1145/3793302.3793572openalex-snapshot

When Bots Get the Boot: Understanding Pull Request Rejections in the Era of AI Coders

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