Copertina

Improving Front-end Performance through Modular Rendering and Adaptive Hydration (MRAH) in React Applications

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Chen, Kaitao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Modular Layout Synthesis (MLS): Front-end Code via Structure Normalization and Constrained Generation
di: Liu, Chong, et al.
Pubblicazione: (2025)

Prototype2Code: End-to-end Front-end Code Generation from UI Design Prototypes
di: Xiao, Shuhong, et al.
Pubblicazione: (2024)

React-tRace: A Semantics for Understanding React Hooks
di: Lee, Jay, et al.
Pubblicazione: (2025)

Exploring React Library Related Questions on Stack Overflow: Answered vs. Unanswered
di: Ardity, Vanesya Aura, et al.
Pubblicazione: (2025)

Hot Topics and Common Challenges: an Empirical Study of React Discussions on Stack Overflow
di: Nugroho, Yusuf Sulistyo, et al.
Pubblicazione: (2025)

Interact and React: Exploring Gender Patterns in Development and the Impact on Innovation and Robustness of a User Interface Tool
di: Brooke, Sian
Pubblicazione: (2025)

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
di: Xiao, Jingyu, et al.
Pubblicazione: (2025)

MigrateLib: a tool for end-to-end Python library migration
di: Islam, Mohayeminul, et al.
Pubblicazione: (2025)

Modularization is Better: Effective Code Generation with Modular Prompting
di: Pan, Ruwei, et al.
Pubblicazione: (2025)

HookLens: Visual Analytics for Understanding React Hooks Structures
di: Hwang, Suyeon, et al.
Pubblicazione: (2026)

Improving Data Curation of Software Vulnerability Patches through Uncertainty Quantification
di: Chen, Hui, et al.
Pubblicazione: (2024)

ProMoTA: a model-driven framework for end-to-end traceability analysis
di: Mustafiz, Sadaf, et al.
Pubblicazione: (2026)

Assessing LLMs for Front-end Software Architecture Knowledge
di: Guerra, L. P. Franciscatto, et al.
Pubblicazione: (2025)

On the Effectiveness of Modular Testing in EvoSuite
di: Dinella, Elizabeth
Pubblicazione: (2026)

Modular Monolith: Is This the Trend in Software Architecture?
di: Su, Ruoyu, et al.
Pubblicazione: (2024)

PSD2Code: Automated Front-End Code Generation from Design Files via Multimodal Large Language Models
di: Chen, Yongxi, et al.
Pubblicazione: (2025)

FedLAD: A Modular and Adaptive Testbed for Federated Log Anomaly Detection
di: Liao, Yihan, et al.
Pubblicazione: (2025)

Context-Adaptive Requirements Defect Prediction through Human-LLM Collaboration
di: Unterbusch, Max, et al.
Pubblicazione: (2026)

Signal-First Architectures: Rethinking Front-End Reactivity
di: Balasubramanian, Shrinivass Arunachalam
Pubblicazione: (2025)

CppPerf: An Automated Pipeline and Dataset for Performance-Improving C++ Commits
di: Ho, Tommy, et al.
Pubblicazione: (2026)

Improving Requirements Completeness: Automated Assistance through Large Language Models
di: Luitel, Dipeeka, et al.
Pubblicazione: (2023)

From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Framework
di: Xu, Haowen, et al.
Pubblicazione: (2025)

An Efficient VCGen-based Modular Verification of Relational Properties
di: Blatter, Lionel, et al.
Pubblicazione: (2024)

Developer Perceptions on Utilising Low-Code Approaches to Build Accessible and Adaptive Applications for Seniors
di: Wickramathilaka, Shavindra, et al.
Pubblicazione: (2025)

Improving Code Comprehension through Cognitive-Load Aware Automated Refactoring for Novice Programmers
di: Saha, Subarna, et al.
Pubblicazione: (2026)

A Comparative Study of Android Performance Issues in Real-world Applications and Literature
di: Liao, Dianshu, et al.
Pubblicazione: (2024)

Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition
di: Neumüller, Denis, et al.
Pubblicazione: (2026)

NovaQ: Improving Quantum Program Testing through Diversity-Guided Test Case Generation
di: Jin, Tiancheng, et al.
Pubblicazione: (2025)

Improving LLM-Based Go Code Review through Issue-List Generation and Context Augmentation
di: Sun, Kexin, et al.
Pubblicazione: (2026)

ModARO: A Modular Approach to Architecture Reconstruction of Distributed Microservice Codebases
di: Manglaras, Oscar, et al.
Pubblicazione: (2026)

Improving Assignment Submission in Higher Education through a Git-Enabled System: An Iterative Case Study
di: Babatunde, Ololade, et al.
Pubblicazione: (2025)

MBFL-DKMR: Improving Mutation-based Fault Localization through Denoising-based Kill Matrix Refinement
di: Liu, Hengyuan, et al.
Pubblicazione: (2025)

Improving device-aware Web services and their mobile clients through an aspect-oriented, model-driven approach
di: Ortiz, Guadalupe, et al.
Pubblicazione: (2024)

ZjsComponent: A Pragmatic Approach to Modular, Reusable UI Fragments for Web Development
di: Manickum, Lelanthran
Pubblicazione: (2025)

Generating CodeMeta through declarative mapping rules: An open-ended approach using ShExML
di: García-González, Herminio
Pubblicazione: (2025)

BIOMERO 2.0: end-to-end FAIR infrastructure for bioimaging data import, analysis, and provenance
di: Luik, Torec T., et al.
Pubblicazione: (2025)

Green LLM Techniques in Action: How Effective Are Existing Techniques for Improving the Energy Efficiency of LLM-Based Applications in Industry?
di: Kuran, Pelin Rabia, et al.
Pubblicazione: (2026)

An Empirical Study on Challenges for LLM Application Developers
di: Chen, Xiang, et al.
Pubblicazione: (2024)

Improving Compiler Bug Isolation by Leveraging Large Language Models
di: Qi, Yixian, et al.
Pubblicazione: (2025)

gigiProfiler: Diagnosing Performance Issues by Uncovering Application Resource Bottlenecks
di: Hu, Yigong, et al.
Pubblicazione: (2025)