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Learning to Detect and Localize Multilingual Bugs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Declarative static analysis for multilingual programs using CodeQL
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The Babel of Software Development: Linguistic Diversity in Open Source
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Array programming with NumPy
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SciPy 1.0: fundamental algorithms for scientific computing in Python
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Punctuated equilibrium in the large-scale evolution of programming languages
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Popularity, Interoperability, and Impact of Programming Languages in 100,000 Open Source Projects
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Towards Understanding and Reasoning About Android Interoperations
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inferredcites →https://doi.org/10.1109/icse43902.2021.00067openalex-snapshot
Fault Localization with Code Coverage Representation Learning
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JUSTGen: Effective Test Generation for Unspecified JNI Behaviors on JVMs
inferredcites →https://doi.org/10.1109/icse48619.2023.00157openalex-snapshot
Demystifying Issues, Challenges, and Solutions for Multilingual Software Development
inferredcites →https://doi.org/10.1109/icse48619.2023.00211openalex-snapshot
VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning
inferredcites →https://doi.org/10.1109/icsme46990.2020.00058openalex-snapshot
On the Impact of Multi-language Development in Machine Learning Frameworks
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An Empirical Study of Programming Language Trends
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A Large Scale Study of Multiple Programming Languages and Code Quality
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Modeling and Discovering Vulnerabilities with Code Property Graphs
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Examining Zero-Shot Vulnerability Repair with Large Language Models
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AMLETO: a multi-language environment for functional test generation
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BridgeTaint: A Bi-Directional Dynamic Taint Tracking Method for JavaScript Bridges in Android Hybrid Applications
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NDroid: Toward Tracking Information Flows Across Multiple Android Contexts
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A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
inferredcites →https://doi.org/10.1109/tr.2020.3024873openalex-snapshot
On the Impact of Interlanguage Dependencies in Multilanguage Systems Empirical Case Study on Java Native Interface Applications (JNI)
inferredcites →https://doi.org/10.1109/tse.2023.3241639openalex-snapshot
Static Analysis of JNI Programs via Binary Decompilation
inferredcites →https://doi.org/10.1109/tse.2024.3358258openalex-snapshot
Multi-Language Software Development: Issues, Challenges, and Solutions
inferredcites →https://doi.org/10.1145/2509136.2509515openalex-snapshot
Empirical analysis of programming language adoption
inferredcites →https://doi.org/10.1145/2601248.2601269openalex-snapshot
An empirical assessment of polyglot-ism in GitHub
inferredcites →https://doi.org/10.1145/2635868.2635893openalex-snapshot
ORBS: language-independent program slicing
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An empirical analysis of the utilization of multiple programming languages in open source projects
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A large-scale study of programming languages and code quality in GitHub
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An extensible, regular-expression-based tool for multi-language mutant generation
inferredcites →https://doi.org/10.1145/3324884.3416558openalex-snapshot
Broadening horizons of multilingual static analysis
inferredcites →https://doi.org/10.1145/3340571openalex-snapshot
On the Impact of Programming Languages on Code Quality
inferredcites →https://doi.org/10.1145/3360588openalex-snapshot
Improving bug detection via context-based code representation learning and attention-based neural networks
inferredcites →https://doi.org/10.1145/3385412.3386014openalex-snapshot
Gillian, part i: a multi-language platform for symbolic execution
inferredcites →https://doi.org/10.1145/3432690openalex-snapshot
Are Multi-Language Design Smells Fault-Prone? An Empirical Study
inferredcites →https://doi.org/10.1145/3468264.3468580openalex-snapshot
Boosting coverage-based fault localization via graph-based representation learning
inferredcites →https://doi.org/10.1145/3477535openalex-snapshot
On the Reproducibility and Replicability of Deep Learning in Software Engineering
inferredcites →https://doi.org/10.1145/3485275openalex-snapshot
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
inferredcites →https://doi.org/10.1145/3510003.3510147openalex-snapshot
Improving fault localization and program repair with deep semantic features and transferred knowledge
inferredcites →https://doi.org/10.1145/3540250.3549128openalex-snapshot
Generating realistic vulnerabilities via neural code editing: an empirical study
inferredcites →https://doi.org/10.1145/3540250.3549137openalex-snapshot
Fault localization to detect co-change fixing locations
inferredcites →https://doi.org/10.1145/3540250.3549173openalex-snapshot
On the vulnerability proneness of multilingual code
inferredcites →https://doi.org/10.1145/3540250.3558925openalex-snapshot
PolyFax: a toolkit for characterizing multi-language software
inferredcites →https://doi.org/10.1145/3540250.3560880openalex-snapshot
Language-agnostic dynamic analysis of multilingual code: promises, pitfalls, and prospects
inferredcites →https://doi.org/10.1145/3597503.3639116openalex-snapshot
VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses
inferredcites →https://doi.org/10.1145/3611643.3616256openalex-snapshot
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair
inferredcites →https://doi.org/10.1145/3631967openalex-snapshot
How Are Multilingual Systems Constructed: Characterizing Language Use and Selection in Open-Source Multilingual Software
inferredcites →https://doi.org/10.1186/s40411-017-0035-zopenalex-snapshot
On multi-language software development, cross-language links and accompanying tools: a survey of professional software developers
inferredcites →https://doi.org/10.14722/ndss.2021.24224openalex-snapshot
Favocado: Fuzzing the Binding Code of JavaScript Engines Using Semantically Correct Test Cases
inferredcites →https://doi.org/10.1609/aaai.v34i05.6430openalex-snapshot
TreeGen: A Tree-Based Transformer Architecture for Code Generation
inferredcites →https://doi.org/10.4230/lipics.ecoop.2024.23openalex-snapshot
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.2401.10716openalex-snapshot
Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models
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CodeRL: Mastering Code Generation Through Pretrained Models and Deep Reinforcement Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-97623-0_8openalex-snapshot
An Empirical Study of Multi-language Security Patches in Open Source Software
inferred← citeshttps://doi.org/10.1109/access.2026.3721377openalex-snapshot
From Trace to Line: An Empirical Study of What Drives LLM-Based OSS Vulnerability Localization
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00158openalex-snapshot
Diplomatist: What Do Cross-language Dependencies Reflect Software Ecosystem Health?
inferred← citeshttps://doi.org/10.1109/icccbda69573.2026.11676506openalex-snapshot
Understanding Cross-Language Bug Fixing: An Empirical Study with CodeLMs and LLMs
inferred← citeshttps://doi.org/10.1109/tr.2025.3576267openalex-snapshot
A Survey of Multilanguage Interoperability and Its Program Analysis
inferred← citeshttps://doi.org/10.1109/tse.2025.3579574openalex-snapshot
BLAZE: Cross-Language and Cross-Project Bug Localization via Dynamic Chunking and Hard Example Learning
inferred← citeshttps://doi.org/10.1109/tse.2026.3659785openalex-snapshot
Configuration Defects in Kubernetes
inferred← citeshttps://doi.org/10.1109/tse.2026.3668601openalex-snapshot
Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models
inferred← citeshttps://doi.org/10.1145/3715777openalex-snapshot
Dissecting Real-World Cross-Language Bugs
inferred← citeshttps://doi.org/10.1145/3744916.3773176openalex-snapshot
Exploring and Improving Real-World Vulnerability Data Generation via Prompting Large Language Models
inferred← citeshttps://doi.org/10.1145/3763152openalex-snapshot
Finding Compiler Bugs through Cross-Language Code Generator and Differential Testing
inferred← citeshttps://doi.org/10.1145/3783989openalex-snapshot
How Execution Features Relate to Failures: An Empirical Study and Diagnosis Approach
inferred← citeshttps://doi.org/10.1145/3803437.3806417openalex-snapshot
A Practical Fuzzer for the Python Runtime System
inferred← citeshttps://doi.org/10.1145/3808110openalex-snapshot
Denoising Fault Localization with Test Line Proximity
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