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Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering

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Semantically find similar binary codes with mixed key instruction sequence
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Recommending refactorings via commit message analysis
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Performance analysis of out-of-distribution detection on trained neural networks
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Prevalence and Severity of Design Anti-Patterns in Open Source Programs—A Large-Scale Study
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Directed fuzzing based on path constraints and deviation path correction
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MT-Boost: A metamorphic-testing based training method for enhancing the robustness of deep neural network classifiers
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Assessing Operational Accuracy of CNN-Based Image Classifiers Using an Oracle Surrogate
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Understanding Race-Based Medicine and Its Impact on Radiology
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FSFC: An input filter-based secure framework for smart contract
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SRP: An Efficient Runtime Protection Framework for Blockchain-based Smart Contracts
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Effects of contextual information on maintenance effort: A controlled experiment
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Energy-Delay investigation of Remote Inter-Process communication technologies
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Deep learning-based solution for smart contract vulnerabilities detection
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Adaptive Parallel Fuzzing with Multi-candidate Task Scheduling
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A Fine-tuned Approach to Code Summarization Generation Based on Keyword Augmentation and Contrastive Learning
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On the transferability of pre-trained language models for low-resource programming languages
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I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts
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What Is the Intended Usage Context of This Model? An Exploratory Study of Pre-Trained Models on Various Model Repositories
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Fuzz on the Beach: Fuzzing Solana Smart Contracts
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Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark
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LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data
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Automatic Program Repair with Improved Transformer
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IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion
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CLAIM: a Lightweight Approach to Identify Microservices in Dockerized Environments
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Automated Commit Intelligence by Pre-training
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Automatically Recommend Code Updates: Are We There Yet?
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Large Language Models for Software Engineering: A Systematic Literature Review
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HapTest: The Dynamic Analysis Framework for OpenHarmony
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An Evaluation of Self-Adaptive Mechanisms for Misconfigurations in Small Uncrewed Aerial Systems
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System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
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TAEFuzz : Automatic Fuzzing for Image-based Deep Learning Systems via Transferable Adversarial Examples
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MendelFuzz: The Return of the Deterministic Stage
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Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing
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Multi-modal Traffic Scenario Generation for Autonomous Driving System Testing
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Doc2OracLL: Investigating the Impact of Documentation on LLM-Based Test Oracle Generation
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RegTrieve: Reducing System-Level Regression Errors for Machine Learning Systems via Retrieval-Enhanced Ensemble
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DyLin: A Dynamic Linter for Python
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PriCod: Prioritizing Test Inputs for Compressed Deep Neural Networks
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A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
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FoC: Figure Out the Cryptographic Functions in Stripped Binaries with LLMs
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Estimating Uncertainty in Line-Level Defect Prediction via Perceptual Borderline Oversampling
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A Review of Learning-based Smart Contract Vulnerability Detection: A Perspective on Code Representation
inferred← citeshttps://doi.org/10.1145/3757414openalex-snapshot
'I Know You Are Discriminatory!': Automated Substantiating for Individual Fairness Auditing of AI Systems
inferred← citeshttps://doi.org/10.1145/3762170openalex-snapshot
Software Fairness: An Analysis and Survey
inferred← citeshttps://doi.org/10.1145/3769008openalex-snapshot
Deep Learning Representations of Programs: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3771282openalex-snapshot
Mapping the Trust Terrain: LLMs in Software Engineering - Insights and Perspectives
inferred← citeshttps://doi.org/10.11606/d.55.2022.tde-05042023-144747openalex-snapshot
Avaliação do uso de perfis de desempenho aplicados no teste e software em diferentes domínios de aplicação
inferred← citeshttps://doi.org/10.11606/d.55.2024.tde-06012025-164548openalex-snapshot
Definição de critérios de teste baseados em árvores de decisão para algoritmos de aprendizagem de máquina
inferred← citeshttps://doi.org/10.11606/t.95.2021.tde-20012022-222829openalex-snapshot
Desenvolvimento baseado em modelos de serviços adaptadores para ferramentas de bioinformática
inferred← citeshttps://doi.org/10.18267/j.pep.742openalex-snapshot
An Explorative Paper on Speculative Approaches to Smart Contracts
inferred← citeshttps://doi.org/10.3233/apc210203openalex-snapshot
Using Artificial Intelligence in Source Code Summarization: A Review
inferred← citeshttps://doi.org/10.32604/cmes.2023.031488openalex-snapshot
A Review on the Security of the Ethereum-Based DeFi Ecosystem
inferred← citeshttps://doi.org/10.4108/eai.14-9-2021.170956openalex-snapshot
Binary Code Similarity Detection through LSTM and Siamese Neural Network
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