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Predicting program properties from 'big code'

https://doi.org/10.1145/3306204
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-03237-0_17openalex-snapshot
Type Analysis for JavaScript
inferredcites →https://doi.org/10.1109/cvpr.2004.1315232openalex-snapshot
Multiscale conditional random fields for image labeling
inferredcites →https://doi.org/10.1145/1102351openalex-snapshot
Proceedings of the 22nd international conference on Machine learning - ICML '05
inferredcites →https://doi.org/10.1145/2976749.2978422openalex-snapshot
Statistical Deobfuscation of Android Applications
inferredcites →https://doi.org/10.1561/2500000028openalex-snapshot
Programming with “Big Code”
inferredcites →https://doi.org/10.3929/ethz-a-010737712openalex-snapshot
Learning from Large Codebases

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-67540-0_26openalex-snapshot
Code Prediction Based on Graph Embedding Model
inferred← citeshttps://doi.org/10.1007/978-3-030-81688-9_36openalex-snapshot
Automatically Tailoring Abstract Interpretation to Custom Usage Scenarios
inferred← citeshttps://doi.org/10.1016/j.future.2025.108318openalex-snapshot
Deobfuscation of JavaScript code and identification of security weaknesses through large language models
inferred← citeshttps://doi.org/10.1016/j.infsof.2021.106564openalex-snapshot
A practical algorithm for learning disjunctive abstraction heuristics in static program analysis
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111623openalex-snapshot
CSGVD: A deep learning approach combining sequence and graph embedding for source code vulnerability detection
inferred← citeshttps://doi.org/10.1109/apsec53868.2021.00010openalex-snapshot
NameChecker: Detecting Inconsistency between Method Names and Method Bodies
inferred← citeshttps://doi.org/10.1109/issre66568.2025.00038openalex-snapshot
AUVANA: An Efficient and Automatic Approach to Variable Rename Refactoring via Large Pre-trained Language Model
inferred← citeshttps://doi.org/10.1145/3425898.3426962openalex-snapshot
VarSem: declarative expression and automated inference of variable usage semantics
inferred← citeshttps://doi.org/10.1145/3468264.3468607openalex-snapshot
StateFormer: fine-grained type recovery from binaries using generative state modeling
inferred← citeshttps://doi.org/10.1145/3510003.3510150openalex-snapshot
Automated detection of password leakage from public GitHub repositories
inferred← citeshttps://doi.org/10.1145/3591195.3595275openalex-snapshot
Predicting Dynamic Properties of Heap Allocations using Neural Networks Trained on Static Code: An Intellectual Abstract
inferred← citeshttps://doi.org/10.1145/3597503.3640325openalex-snapshot
PyAnalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code
inferred← citeshttps://doi.org/10.1145/3597926.3598092openalex-snapshot
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring
inferred← citeshttps://doi.org/10.1145/3611643.3616283openalex-snapshot
Statistical Type Inference for Incomplete Programs
inferred← citeshttps://doi.org/10.1145/3660816openalex-snapshot
DAInfer: Inferring API Aliasing Specifications from Library Documentation via Neurosymbolic Optimization
inferred← citeshttps://doi.org/10.1145/3844948openalex-snapshot
A Survey of Symbol Name Recovery in Software Reverse Engineering
inferred← citeshttps://doi.org/10.14722/bar.2022.23009openalex-snapshot
Beyond the C: Retargetable Decompilation using Neural Machine Translation
inferred← citeshttps://doi.org/10.18653/v1/2020.coling-main.28openalex-snapshot
Pointing to Subwords for Generating Function Names in Source Code
inferred← citeshttps://doi.org/10.24963/ijcai.2022/466openalex-snapshot
Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination
inferred← citeshttps://doi.org/10.48550/arxiv.1912.07946openalex-snapshot
In Nomine Function: Naming Functions in Stripped Binaries with Neural Networks
inferred← citeshttps://doi.org/10.48550/arxiv.2009.13860openalex-snapshot
Automatically Tailoring Static Analysis to Custom Usage Scenarios
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