Cover Image

Dialogue Systems Engineering: A Survey and Future Directions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nakano, Mikio, Takeuchi, Hironori, Yoshikawa, Sadahiro, Matsuyama, Yoichi, Komatani, Kazunori
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Methodology for Identifying Evaluation Items for Practical Dialogue Systems Based on Business-Dialogue System Alignment Models
by: Nakano, Mikio, et al.
Published: (2026)

Effective Harness Engineering for Algorithm Discovery with Coding Agents
by: Ishibashi, Yoichi, et al.
Published: (2026)

From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
by: Jin, Haolin, et al.
Published: (2024)

Agents in Software Engineering: Survey, Landscape, and Vision
by: Wang, Yanlin, et al.
Published: (2024)

Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
by: Zhang, Ziyin, et al.
Published: (2023)

Is Open Source the Future of AI? A Data-Driven Approach
by: Vake, Domen, et al.
Published: (2025)

A Survey on Large Language Models for Code Generation
by: Jiang, Juyong, et al.
Published: (2024)

OmniCode: A Benchmark for Evaluating Software Engineering Agents
by: Sonwane, Atharv, et al.
Published: (2026)

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
by: Lee, Seongmin, et al.
Published: (2025)

Rigor, Reliability, and Reproducibility Matter: A Decade-Scale Survey of 572 Code Benchmarks
by: Cao, Jialun, et al.
Published: (2025)

SWE-smith: Scaling Data for Software Engineering Agents
by: Yang, John, et al.
Published: (2025)

Introduction to Analytical Software Engineering Design Paradigm
by: Houichime, Tarik, et al.
Published: (2025)

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study
by: Liu, Yi, et al.
Published: (2023)

SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks
by: Adamenko, Pavel, et al.
Published: (2025)

Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents
by: Kuang, Jiayi, et al.
Published: (2025)

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks
by: Zhou, Xin, et al.
Published: (2025)

SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering
by: Guo, Xuehang, et al.
Published: (2025)

Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering
by: Zeng, Guangtao, et al.
Published: (2025)

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
by: Ouyang, Siru, et al.
Published: (2024)

Evaluating LLM-Based Goal Extraction in Requirements Engineering: Prompting Strategies and Their Limitations
by: Arnaudo, Anna, et al.
Published: (2026)

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond
by: Sun, Qiushi, et al.
Published: (2024)

Less Is More: Engineering Challenges of On-Device Small Language Model Integration in a Mobile Application
by: Oliveira, William
Published: (2026)

A Reference Architecture for Designing Foundation Model based Systems
by: Lu, Qinghua, et al.
Published: (2023)

Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization
by: Ishibashi, Yoichi, et al.
Published: (2024)

An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability
by: Ofsa, Max, et al.
Published: (2025)

A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
by: Lu, Qinghua, et al.
Published: (2023)

Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems
by: Liu, Jiacheng, et al.
Published: (2026)

Process-Centric Analysis of Agentic Software Systems
by: Liu, Shuyang, et al.
Published: (2025)

Software-Based Dialogue Systems: Survey, Taxonomy and Challenges
by: Motger, Quim, et al.
Published: (2021)

Multi-agent Application System in Office Collaboration Scenarios
by: Sun, Songtao, et al.
Published: (2025)

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
by: Yang, John, et al.
Published: (2024)

A Taxonomy of Prompt Defects in LLM Systems
by: Tian, Haoye, et al.
Published: (2025)

EvoConfig: Self-Evolving Multi-Agent Systems for Efficient Autonomous Environment Configuration
by: Guo, Xinshuai, et al.
Published: (2026)

Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systems
by: Martinez, Matias, et al.
Published: (2025)

GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making
by: Khoee, Arsham Gholamzadeh, et al.
Published: (2024)

Code Broker: A Multi-Agent System for Automated Code Quality Assessment
by: Attrah, Samer
Published: (2026)

A Survey on Code Generation with LLM-based Agents
by: Dong, Yihong, et al.
Published: (2025)

LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Cost
by: Kikuta, Daisuke, et al.
Published: (2025)

How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions
by: Habiba, Umm-e-, et al.
Published: (2024)

Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation
by: Chen, Le, et al.
Published: (2025)