Cover Image

Describing Agentic AI Systems with C4: Lessons from Industry Projects

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rausch, Andreas, Wittek, Stefan
Format:	Preprint
Published:	2026
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Preparing Students for AI-Driven Agile Development: A Project-Based AI Engineering Curriculum
by: Rausch, Andreas, et al.
Published: (2026)

The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
by: Gröpler, Robin, et al.
Published: (2025)

Generating Software Architecture Description from Source Code using Reverse Engineering and Large Language Model
by: Hatahet, Ahmad, et al.
Published: (2025)

From Education to Evidence: A Collaborative Practice Research Platform for AI-Integrated Agile Development
by: Geger, Tobias, et al.
Published: (2026)

Self-Healing Software Systems: Lessons from Nature, Powered by AI
by: Baqar, Mohammad, et al.
Published: (2025)

A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System
by: Aslam, Iqra, et al.
Published: (2024)

An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation
by: Abboush, Mohammad, et al.
Published: (2026)

Quantifying the Expectation-Realisation Gap for Agentic AI Systems
by: Lobentanzer, Sebastian
Published: (2026)

From Goals to Aspects, Revisited: An NFR Pattern Language for Agentic AI Systems
by: Yu, Yijun
Published: (2026)

Agentic AI Software Engineers: Programming with Trust
by: Roychoudhury, Abhik, et al.
Published: (2025)

Agentic Business Process Management Systems
by: Dumas, Marlon, et al.
Published: (2026)

Pragmos: A Process Agentic Modeling System
by: Hernández-Ávalos, Pedro-Aarón, et al.
Published: (2026)

Reproducible, Explainable, and Effective Evaluations of Agentic AI for Software Engineering
by: Li, Jingyue, et al.
Published: (2026)

Project Prometheus: Bridging the Intent Gap in Agentic Program Repair via Reverse-Engineered Executable Specifications
by: Wang, Yongchao, et al.
Published: (2026)

TriCEGAR: A Trace-Driven Abstraction Mechanism for Agentic AI
by: Koohestani, Roham, et al.
Published: (2026)

Runtime-Structured Task Decomposition for Agentic Coding Systems
by: Asthana, Shubhi, et al.
Published: (2026)

From Code-Centric to Intent-Centric Software Engineering: A Reflexive Thematic Analysis of Generative AI, Agentic Systems, and Engineering Accountability
by: De La Cruz, Elyson
Published: (2026)

Rethinking Code Review in the Age of AI: A Vision for Agentic Code Review
by: Kamalı, Hüseyin Özgür, et al.
Published: (2026)

Agentic AI in 6G Software Businesses: A Layered Maturity Model
by: Zohaib, Muhammad, et al.
Published: (2025)

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities
by: Tang, Yongjian, et al.
Published: (2026)

PEFA-AI: Advancing Open-source LLMs for RTL generation using Progressive Error Feedback Agentic-AI
by: Narayanan, Athma, et al.
Published: (2025)

"Don't Be Afraid, Just Learn": Insights from Industry Practitioners to Prepare Software Engineers in the Age of Generative AI
by: Otten, Daniel, et al.
Published: (2026)

REGAL: A Registry-Driven Architecture for Deterministic Grounding of Agentic AI in Enterprise Telemetry
by: Agrawal, Yuvraj
Published: (2026)

Agentic Scientific Simulation: Execution-Grounded Model Construction and Reconstruction
by: Lie, Knut-Andreas, et al.
Published: (2026)

Benchmarks are Not Enough: RAMP for Runtime Assessing of Agentic Models in Production Systems
by: Ouyang, Yipeng, et al.
Published: (2026)

Beyond Task Completion: An Assessment Framework for Evaluating Agentic AI Systems
by: Akshathala, Sreemaee, et al.
Published: (2025)

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs
by: Xie, Chen, et al.
Published: (2025)

ReusStdFlow: A Standardized Reusability Framework for Dynamic Workflow Construction in Agentic AI
by: Zhang, Gaoyang, et al.
Published: (2026)

A Dual-Helix Governance Approach Towards Reliable Agentic AI for WebGIS Development
by: Boyuan, et al.
Published: (2026)

Digital Twin and Agentic AI for Wild Fire Disaster Management: Intelligent Virtual Situation Room
by: Morsali, Mohammad, et al.
Published: (2026)

Lessons Learned from the Use of Generative AI in Engineering and Quality Assurance of a WEB System for Healthcare
by: Travassos, Guilherme H., et al.
Published: (2025)

Beyond the 'Diff': Addressing Agentic Entropy in Agentic Software Development
by: Casserini, Matteo, et al.
Published: (2026)

The Rise of Agentic Testing: Multi-Agent Systems for Robust Software Quality Assurance
by: Naqvi, Saba, et al.
Published: (2026)

Towards LLM-Assisted Architecture Recovery for Real-World ROS~2 Systems: An Agent-Based Multi-Level Approach to Hierarchical Structural Architecture Reconstruction
by: Briechle, Dominique, et al.
Published: (2026)

Generative AI for Software Project Management: Insights from a Review of Software Practitioner Literature
by: Assalaarachchi, Lakshana Iruni, et al.
Published: (2025)

ToolMisuseBench: An Offline Deterministic Benchmark for Tool Misuse and Recovery in Agentic Systems
by: Sigdel, Akshey, et al.
Published: (2026)

On Generalization in Agentic Tool Calling: CoreThink Agentic Reasoner and MAVEN Dataset
by: Bhat, Vishvesh, et al.
Published: (2025)

Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
by: Ehsani, Ramtin, et al.
Published: (2026)

Five Fatal Assumptions: Why T-Shirt Sizing Systematically Fails for AI Projects
by: Soundaramourty, Raja, et al.
Published: (2026)

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
by: Sapkota, Ranjan, et al.
Published: (2025)