Cover Image

A Low-Code Approach for the Automatic Personalization of Conversational Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Conrardy, Aaron, Capozucca, Alfredo, Cabot, Jordi
Format:	Preprint
Published:	2026
Subjects:	Software Engineering Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

User Modeling in Model-Driven Engineering: A Systematic Literature Review
by: Conrardy, Aaron, et al.
Published: (2024)

Towards a unified user modeling language for engineering human centered AI systems
by: Conrardy, Aaron, et al.
Published: (2025)

Automatic Bias Detection in Source Code Review
by: Alebachew, Yoseph Berhanu, et al.
Published: (2025)

From Image to UML: First Results of Image Based UML Diagram Generation Using LLMs
by: Conrardy, Aaron, et al.
Published: (2024)

CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development
by: Mowar, Peya, et al.
Published: (2025)

Investigating Conversational Agents to Support Secondary School Students Learning CSP
by: Frazier, Matthew, et al.
Published: (2026)

The Software Diversity Card: A Framework for Reporting Diversity in Software Projects
by: Giner-Miguelez, Joan, et al.
Published: (2025)

Enhancing Software Development with Context-Aware Conversational Agents: A User Study on Developer Interactions with Chatbots
by: Melo, Glaucia, et al.
Published: (2025)

The Influence of HEXACO Personality Traits on the Teamwork Quality in Software Teams -- A Preliminary Research Approach
by: Zähl, Philipp M., et al.
Published: (2025)

Reassessing Java Code Readability Models with a Human-Centered Approach
by: Sergeyuk, Agnia, et al.
Published: (2024)

MoT: A Model-Driven Low-Code Approach for Simplifying Cloud-of-Things Application Development
by: Welter, Cristiano, et al.
Published: (2025)

A Unified, Cross-Platform Framework for Automatic GUI and Plugin Generation in Structural Bioinformatics and Beyond
by: Guo, Sikao, et al.
Published: (2026)

A Transformer-Based Approach for Smart Invocation of Automatic Code Completion
by: de Moor, Aral, et al.
Published: (2024)

Agentic Metacognition: Designing a "Self-Aware" Low-Code Agent for Failure Prediction and Human Handoff
by: Xu, Jiexi
Published: (2025)

Code Compass: A Study on the Challenges of Navigating Unfamiliar Codebases
by: Agrawal, Ekansh, et al.
Published: (2024)

Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills
by: Denny, Paul, et al.
Published: (2024)

Low-code and no-code with BESSER to create and deploy smart web applications
by: Alfonso, Iván, et al.
Published: (2026)

Gendered Prompting and LLM Code Review: How Gender Cues in the Prompt Shape Code Quality and Evaluation
by: Janzen, Lynn, et al.
Published: (2026)

"I Would Have Written My Code Differently'': Beginners Struggle to Understand LLM-Generated Code
by: Zi, Yangtian, et al.
Published: (2025)

40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study
by: Wyrich, Marvin, et al.
Published: (2022)

Assessing Consensus of Developers' Views on Code Readability
by: Sergeyuk, Agnia, et al.
Published: (2024)

Exit the Code: A Model for Understanding Career Abandonment Intention Among Software Developers
by: Massoni, Tiago, et al.
Published: (2025)

Linguistic Similarity Within Centralized FLOSS Development
by: Gaughan, Matthew, et al.
Published: (2026)

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant
by: Merten, Gaspard, et al.
Published: (2025)

Generating Complex Code Analyzers from Natural Language Questions
by: Nazari, Amirmohammad, et al.
Published: (2026)

Detecting UX smells in Visual Studio Code using LLMs
by: Rodriguez, Andrés, et al.
Published: (2026)

Patterns of Developer Adoption of LLM-Generated Code Refactoring Suggestions
by: Schön, David, et al.
Published: (2026)

Investigating and Designing for Trust in AI-powered Code Generation Tools
by: Wang, Ruotong, et al.
Published: (2023)

Why AI Agents Still Need You: Findings from Developer-Agent Collaborations in the Wild
by: Kumar, Aayush, et al.
Published: (2025)

A Graph-based Approach to Human Activity Recognition
by: Peroutka, Thomas, et al.
Published: (2024)

Context Branching for LLM Conversations: A Version Control Approach to Exploratory Programming
by: Nanjundappa, Bhargav Chickmagalur, et al.
Published: (2025)

Computer Science Achievement and Writing Skills Predict Vibe Coding Proficiency
by: Thorgeirsson, Sverrir, et al.
Published: (2026)

A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
by: Tang, Ningzhi, et al.
Published: (2024)

Story Arena: A Multi-Agent Environment for Envisioning the Future of Software Engineering
by: Weisz, Justin D., et al.
Published: (2025)

MLLM-Based UI2Code Automation Guided by UI Layout Information
by: Wu, Fan, et al.
Published: (2025)

Vibe Coding: Toward an AI-Native Paradigm for Semantic and Intent-Driven Programming
by: Bamil, Vinay
Published: (2025)

Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification
by: Tang, Ningzhi, et al.
Published: (2025)

Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise
by: Weisz, Justin D., et al.
Published: (2024)

Emotional Contagion in Code: How GitHub Emoji Reactions Shape Developer Collaboration
by: Kraishan, Obada
Published: (2025)

From Teacher to Colleague: How Coding Experience Shapes Developer Perceptions of AI Tools
by: Zakharov, Ilya, et al.
Published: (2025)