专题：Software Engineering Research

This cluster of papers focuses on empirical studies in software engineering, covering topics such as refactoring, code clone detection, software defect prediction, requirements traceability, static code attributes, machine learning, software maintenance, source code analysis, bug localization, and API usage patterns.
最新文献
近5年高被引文献
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

preprint Full Text OpenAlex 791 FWCI0

ProtGPT2 is a deep unsupervised language model for protein design

article Full Text OpenAlex 774 FWCI57.4314

Large Language Models for Software Engineering: A Systematic Literature Review

article Full Text OpenAlex 689 FWCI462.8687

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation

article Full Text OpenAlex 579 FWCI250.8621

Augmenting large language models with chemistry tools

article Full Text OpenAlex 578 FWCI59.495

Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models

article Full Text OpenAlex 550 FWCI73.2266

Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education

article Full Text OpenAlex 542 FWCI100.6456

UniXcoder: Unified Cross-Modal Pre-training for Code Representation

article Full Text OpenAlex 541 FWCI73.0647

A systematic evaluation of large language models of code

article Full Text OpenAlex 497 FWCI147.8769

Can Open Large Language Models Catch Vulnerabilities?

preprint Full Text OpenAlex 488 FWCI1095.7154