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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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Towards the Next Generation of Software: Insights from Grey Literature on AI-Native Applications
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Accelerating Discovery: Rapid Literature Screening with LLMs
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Automating Code Generation for Semiconductor Equipment Control from Developer Utterances with LLMs
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SCoGen: Scenario-Centric Graph-Based Synthesis of Real-World Code Problems
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The Cartographer
GView: A Survey of Binary Forensics via Visual, Semantic, and AI-Enhanced Analysis
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Validating Solidity Code Defects using Symbolic and Concrete Execution powered by Large Language Models
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Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design
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SateLight: A Satellite Application Update Framework for Satellite Computing
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Perspectives, Needs and Challenges for Sustainable Software Engineering Teams: A FinServ Case Study
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Evaluating Large Language Models for Functional and Maintainable Code in Industrial Settings: A Case Study at ASML
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VisDocSketcher: Towards Scalable Visual Documentation with Agentic Systems
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CodeCureAgent: Automatic Classification and Repair of Static Analysis Warnings
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Analysing Python Machine Learning Notebooks with Moose
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Toward Greener Background Processes -- Measuring Energy Cost of Autosave Feature
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AI Asset Management for Manufacturing (AIM4M): Development of a Process Model for Operationalization
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Automated Creation and Enrichment Framework for Improved Invocation of Enterprise APIs as Tools
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Sedeve-Kit, a Specification-Driven Development Framework for Building Distributed Systems
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Weakly Supervised Vulnerability Localization via Multiple Instance Learning
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UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories
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Evolution of Kernels: Automated RISC-V Kernel Optimization with Large Language Models
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Rethinking Technology Stack Selection with AI Coding Proficiency
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Hardness, Structural Knowledge, and Opportunity: An Analytical Framework for Modular Performance Modeling
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