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🏛️ The Software Engineering Crypt
cs.SE: Where Software Engineering papers rest without their code.
16677
Total Papers
13410
No Code
294
Twilight
2973
Has Code
17.8%
Survival Rate
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The Fools are Certain; the Wise are Doubtful: Exploring LLM Confidence in Code Completion
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Measuring the effectiveness of code review comments in GitHub repositories: A machine learning approach
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A Systematic Literature Review of Machine Learning Approaches for Migrating Monolithic Systems to Microservices
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Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems
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Reflective Paper-to-Code Reproduction Enabled by Fine-Grained Verification
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Towards LLM-generated explanations for Component-based Knowledge Graph Question Answering Systems
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Hallucination in LLM-Based Code Generation: An Automotive Case Study
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Bridging Solidity Evolution Gaps: An LLM-Enhanced Approach for Smart Contract Compilation Error Resolution
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DeputyDev -- AI Powered Developer Assistant: Breaking the Code Review Logjam through Contextual AI to Boost Developer Productivity
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CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement
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Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics
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Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming
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Refactoring-Aware Patch Integration Across Structurally Divergent Java Forks
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Understanding Inconsistent State Update Vulnerabilities in Smart Contracts
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Automated Code Development for PDE Solvers Using Large Language Models
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Impact-driven Context Filtering For Cross-file Code Completion
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Manifestations of Empathy in Software Engineering: How, Why, and When It Matters
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Empathy Guidelines for Improving Practitioner Well-being & Software Engineering Practices
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Agentic AI in 6G Software Businesses: A Layered Maturity Model
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Industrial LLM-based Code Optimization under Regulation: A Mixture-of-Agents Approach
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MRG-Bench: Evaluating and Exploring the Requirements of Context for Repository-Level Code Generation
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An Efficient and Adaptive Next Edit Suggestion Framework with Zero Human Instructions in IDEs
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