🏛️ The Software Engineering Crypt
cs.SE: Where Software Engineering papers rest without their code.
16551
Total Papers
13410
No Code
294
Twilight
2847
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17.2%
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FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents
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Turning the Tide: Repository-based Code Reflection
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Accelerating Drug Discovery Through Agentic AI: A Multi-Agent Approach to Laboratory Automation in the DMTA Cycle
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PromiseTune: Unveiling Causally Promising and Explainable Configuration Tuning
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Challenges and Practices in Quantum Software Testing and Debugging: Insights from Practitioners
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Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks
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Generating Automotive Code: Large Language Models for Software Development and Verification in Safety-Critical Systems
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Automated Mechanism to Support Trade Transactions in Smart Contracts with Upgrade and Repair
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CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs
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Software Architecture Meets LLMs: A Systematic Literature Review
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Incorporating Verification Standards for Security Requirements Generation from Functional Specifications
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Are Large Language Models Robust in Understanding Code Against Semantics-Preserving Mutations?
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Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor
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Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub
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The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models
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On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles
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Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge
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Scientific Open-Source Software Is Less Likely to Become Abandoned Than One Might Think! Lessons from Curating a Catalog of Maintained Scientific Software
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Context-Enhanced Vulnerability Detection Based on Large Language Model
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Inducing Vulnerable Code Generation in LLM Coding Assistants
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AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection
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LO2: Microservice API Anomaly Dataset of Logs and Metrics
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