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🏛️ The Software Engineering Crypt
cs.SE: Where Software Engineering papers rest without their code.
16252
Total Papers
13410
No Code
294
Twilight
2548
Has Code
15.7%
Survival Rate
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From End-User's Requirements to Web Services Retrieval: A Semantic and Intention-Driven Approach
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Measuring Software Quality in Use: State-of-the-Art and Research Challenges
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Reasoning About Information Flow Security of Separation Kernels with Channel-based Communication
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Quantitative Analysis of Probabilistic Models of Software Product Lines with Statistical Model Checking
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LogLM: From Task-based to Instruction-based Automated Log Analysis
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Harnessing the Power of LLMs in Source Code Vulnerability Detection
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VulnLLMEval: A Framework for Evaluating Large Language Models in Software Vulnerability Detection and Patching
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ASTER: Natural and Multi-language Unit Test Generation with LLMs
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Experimental evaluation of architectural software performance design patterns in microservices
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A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation
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Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation
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Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models
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Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
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Analysis of Marketed versus Not-marketed Mobile App Releases
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More Insight from Being More Focused: Analysis of Clustered Market Apps
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An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and Classification
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Prototype2Code: End-to-end Front-end Code Generation from UI Design Prototypes
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Normative Requirements Operationalization with Large Language Models
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Large Language Model Evaluation Via Multi AI Agents: Preliminary results
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Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
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LLMs Still Can't Avoid Instanceof: An Investigation Into GPT-3.5, GPT-4 and Bard's Capacity to Handle Object-Oriented Programming Assignments
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Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventions
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