🏛️ The Software Engineering Crypt
cs.SE: Where Software Engineering papers rest without their code.
16140
Total Papers
13410
No Code
294
Twilight
2436
Has Code
15.1%
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A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners
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CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
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Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code
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DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs
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Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
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How We Refactor and How We Document it? On the Use of Supervised Machine Learning Algorithms to Classify Refactoring Documentation
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Deep Just-In-Time Inconsistency Detection Between Comments and Source Code
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Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
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World of Code: Enabling a Research Workflow for Mining and Analyzing the Universe of Open Source VCS data
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Integrated Model-Driven Engineering of Blockchain Applications for Business Processes and Asset Management
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The General Data Protection Regulation: Requirements, Architectures, and Constraints
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DockerizeMe: Automatic Inference of Environment Dependencies for Python Code Snippets
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Test Prioritization in Continuous Integration Environments
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Enhancing Use Case Points Estimation Method Using Soft Computing Techniques
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Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?
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Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset
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Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors
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Robust Multimodal Failure Detection for Microservice Systems
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Fully Autonomous Programming with Large Language Models
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Management of quality requirements in agile and rapid software development: A systematic mapping study
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PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary
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Testing DNN Image Classifiers for Confusion & Bias Errors
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