Cover Image

EvoDev: An Iterative Feature-Driven Framework for End-to-End Software Development with LLM-based Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Junwei, Xu, Chen, Wang, Chong, Bai, Tong, Chen, Weitong, Wong, Kaseng, Lou, Yiling, Peng, Xin
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Agents Fix Agent Issues?
by: Rahardja, Alfin Wijaya, et al.
Published: (2025)

TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment
by: Yuan, Zhiqiang, et al.
Published: (2024)

ProjDevBench: Benchmarking AI Coding Agents on End-to-End Project Development
by: Lu, Pengrui, et al.
Published: (2026)

Large Language Model-Based Agents for Software Engineering: A Survey
by: Liu, Junwei, et al.
Published: (2024)

Benchmarking and Studying the LLM-based Agent System in End-to-End Software Development
by: Zeng, Zhengran, et al.
Published: (2025)

A Viable Paradigm of Software Automation: Iterative End-to-End Automated Software Development
by: Li, Jia, et al.
Published: (2025)

STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis
by: Liu, Junwei, et al.
Published: (2024)

SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development
by: Du, Yaxin, et al.
Published: (2025)

ChatDev: Communicative Agents for Software Development
by: Qian, Chen, et al.
Published: (2023)

Feature-Driven End-To-End Test Generation
by: Alian, Parsa, et al.
Published: (2024)

Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference
by: Wang, Chong, et al.
Published: (2023)

iReDev: A Knowledge-Driven Multi-Agent Framework for Intelligent Requirements Development
by: Jin, Dongming, et al.
Published: (2025)

EET: Experience-Driven Early Termination for Cost-Efficient Software Engineering Agents
by: Guo, Yaoqi, et al.
Published: (2026)

Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel Faults
by: Zhou, Zhenhao, et al.
Published: (2025)

Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios
by: Hu, Ruida, et al.
Published: (2026)

Extracting Conceptual Knowledge to Locate Software Issues
by: Wang, Ying, et al.
Published: (2025)

Argus: Resilience-Oriented Safety Assurance Framework for End-to-End ADSs
by: Wang, Dingji, et al.
Published: (2025)

End-to-End Automated Logging via Multi-Agent Framework
by: Zhong, Renyi, et al.
Published: (2025)

E2Edev: Benchmarking Large Language Models in End-to-End Software Development Task
by: Liu, Jingyao, et al.
Published: (2025)

REAgent: Requirement-Driven LLM Agents for Software Issue Resolution
by: Kuang, Shiqi, et al.
Published: (2026)

Code Digital Twin: Empowering LLMs with Tacit Knowledge for Complex Software Development
by: Peng, Xin, et al.
Published: (2025)

Embedded DevOps: A Survey on the Application of DevOps Practices in Embedded Software and Firmware Development
by: Katapara, Parthiv, et al.
Published: (2025)

TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference
by: Wang, Chong, et al.
Published: (2024)

Code Digital Twin: A Knowledge Infrastructure for AI-Assisted Complex Software Development
by: Peng, Xin, et al.
Published: (2025)

DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle
by: Tang, Yuheng, et al.
Published: (2026)

RepoForge: Training a SOTA Fast-thinking SWE Agent with an End-to-End Data Curation Pipeline Synergizing SFT and RL at Scale
by: Chen, Zhilong, et al.
Published: (2025)

AutoDev: Automated AI-Driven Development
by: Tufano, Michele, et al.
Published: (2024)

RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository
by: Peng, Zhiyuan, et al.
Published: (2026)

MatClaw: An Autonomous Code-First LLM Agent for End-to-End Materials Exploration
by: Zhang, Chenmu, et al.
Published: (2026)

Iterative Experience Refinement of Software-Developing Agents
by: Qian, Chen, et al.
Published: (2024)

EvoClaw: Evaluating AI Agents on Continuous Software Evolution
by: Deng, Gangda, et al.
Published: (2026)

DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation
by: Mu, Yanzhou, et al.
Published: (2025)

Project-Level C-to-Rust Translation via Pointer Knowledge Graphs
by: Yuan, Zhiqiang, et al.
Published: (2025)

Minimizing False Positives in Static Bug Detection via LLM-Enhanced Path Feasibility Analysis
by: Du, Xueying, et al.
Published: (2025)

daVinci-Dev: Agent-native Mid-training for Software Engineering
by: Zeng, Ji, et al.
Published: (2026)

Multi-Agent End-to-End Vulnerability Management for Mitigating Recurring Vulnerabilities
by: Zheng, Zelong, et al.
Published: (2026)

OneLog: Towards End-to-End Training in Software Log Anomaly Detection
by: Hashemi, Shayan, et al.
Published: (2021)

Hallucination to Consensus: Multi-Agent LLMs for End-to-End JUnit Test Generation
by: Xu, Qinghua, et al.
Published: (2025)

RustEvo^2: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation
by: Liang, Linxi, et al.
Published: (2025)

The Impact of Human Aspects on the Interactions Between Software Developers and End-Users in Software Engineering: A Systematic Literature Review
by: Gunatilake, Hashini, et al.
Published: (2024)