Cover Image

Agentic Software Engineering: Foundational Pillars and a Research Roadmap

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hassan, Ahmed E., Li, Hao, Lin, Dayi, Adams, Bram, Chen, Tse-Hsun, Kashiwa, Yutaro, Qiu, Dong
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

Data Quality Antipatterns for Software Analytics
by: Bhatia, Aaditya, et al.
Published: (2024)

Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap
by: Hassan, Ahmed E., et al.
Published: (2024)

Agentic Refactoring: An Empirical Study of AI Coding Agents
by: Horikawa, Kosei, et al.
Published: (2025)

Towards Structured, State-Aware, and Execution-Grounded Reasoning for Software Engineering Agents
by: Tse-Hsun, et al.
Published: (2026)

Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers
by: Hassan, Ahmed E., et al.
Published: (2024)

Engineering AI Judge Systems
by: Lin, Jiahuei, et al.
Published: (2024)

On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
by: Watanabe, Miku, et al.
Published: (2025)

Agent READMEs: An Empirical Study of Context Files for Agentic Coding
by: Chatlatanagulchai, Worawalan, et al.
Published: (2025)

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap
by: Rajbahadur, Gopi Krishnan, et al.
Published: (2024)

Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap
by: Sartaj, Hassan, et al.
Published: (2025)

AgenticSZZ: Temporal Knowledge Graph-Guided Agentic Bug-Inducing Commit Identification
by: Shi, Yu, et al.
Published: (2026)

Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models
by: Li, Hao, et al.
Published: (2024)

Software Performance Engineering for Foundation Model-Powered Software
by: Zhang, Haoxiang, et al.
Published: (2024)

Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
by: Wang, Zehao, et al.
Published: (2024)

A State-of-the-practice Release-readiness Checklist for Generative AI-based Software Products
by: Patel, Harsh, et al.
Published: (2024)

HAFixAgent: History-Aware Program Repair Agent
by: Shi, Yu, et al.
Published: (2025)

Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware
by: Hassan, Ahmed E., et al.
Published: (2024)

What to Cut? Predicting Unnecessary Methods in Agentic Code Generation
by: Watanabe, Kan, et al.
Published: (2026)

An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software
by: Bhatia, Aaditya, et al.
Published: (2023)

From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem
by: Jewitt, James, et al.
Published: (2025)

Causal Software Engineering: A Vision and Roadmap
by: Pietrantuono, Roberto, et al.
Published: (2026)

OmniLLP: Enhancing LLM-based Log Level Prediction with Context-Aware Retrieval
by: Ouatiti, Youssef Esseddiq, et al.
Published: (2025)

Accountable Agents in Software Engineering: An Analysis of Terms of Service and a Research Roadmap
by: Treude, Christoph
Published: (2026)

Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild
by: Zhao, Zhimin, et al.
Published: (2026)

An Empirical Study of Challenges in Machine Learning Asset Management
by: Zhao, Zhimin, et al.
Published: (2024)

LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models
by: Ma, Zeyang, et al.
Published: (2024)

The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
by: Li, Hao, et al.
Published: (2025)

SWE-Effi: Re-Evaluating Software AI Agent System Effectiveness Under Resource Constraints
by: Fan, Zhiyu, et al.
Published: (2025)

RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades
by: Xu, Xinbo, et al.
Published: (2026)

Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement
by: Gallaba, Keheliya, et al.
Published: (2025)

Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents
by: Rombaut, Benjamin, et al.
Published: (2024)

On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
by: Singh, Jaskirat, et al.
Published: (2024)

Order Matters! An Empirical Study on Large Language Models' Input Order Bias in Software Fault Localization
by: Rafi, Md Nakhla, et al.
Published: (2024)

Does Using Bazel Help Speed Up Continuous Integration Builds?
by: Zheng, Shenyu, et al.
Published: (2024)

Understanding Prompt Management in GitHub Repositories: A Call for Best Practices
by: Li, Hao, et al.
Published: (2025)

SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents
by: Lin, Feng, et al.
Published: (2024)

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware)
by: Vasilevski, Kirill, et al.
Published: (2025)

Understanding Self-Admitted Technical Debt in Test Code: An Empirical Study
by: Nakamura, Ibuki, et al.
Published: (2025)

GUIWatcher: Automatically Detecting GUI Lags by Analyzing Mobile Application Screencasts
by: Liu, Wei, et al.
Published: (2025)

RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
by: Lin, Feng, et al.
Published: (2025)