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🏛️ The Software Engineering Crypt
cs.SE: Where Software Engineering papers rest without their code.
16551
Total Papers
13410
No Code
294
Twilight
2847
Has Code
17.2%
Survival Rate
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EnseSmells: Deep ensemble and programming language models for automated code smells detection
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Tracing Vulnerabilities in Maven: A Study of CVE lifecycles and Dependency Networks
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An Empirical Analysis of Machine Learning Model and Dataset Documentation, Supply Chain, and Licensing Challenges on Hugging Face
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Are the Majority of Public Computational Notebooks Pathologically Non-Executable?
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Large Language Model Guided Self-Debugging Code Generation
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An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification
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Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models
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How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
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Enabling Autonomic Microservice Management through Self-Learning Agents
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The Empty Tomb
MPLinker: Multi-template Prompt-tuning with Adversarial Training for Issue-commit Link Recovery
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GLLM: Self-Corrective G-Code Generation using Large Language Models with User Feedback
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Automated Refactoring of Non-Idiomatic Python Code: A Differentiated Replication with LLMs
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Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis
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Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
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Leveraging multi-task learning to improve the detection of SATD and vulnerability
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Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential
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Adaptive Testing for LLM-Based Applications: A Diversity-based Approach
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A Call for Critically Rethinking and Reforming Data Analysis in Empirical Software Engineering
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Detecting and Evaluating Order-Dependent Flaky Tests in JavaScript
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Assessing Teamwork Dynamics in Software Development Projects
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Build Optimization: A Systematic Literature Review
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The Cartographer
Who is to Blame: A Comprehensive Review of Challenges and Opportunities in Designer-Developer Collaboration
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