Cover Image

From Challenge to Change: Design Principles for AI Transformations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tavantzis, Theocharis, Lambiase, Stefano, Russo, Daniel, Feldt, Robert
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Human-Centered AI Transformation: Exploring Behavioral Dynamics in Software Engineering
by: Tavantzis, Theocharis, et al.
Published: (2024)

Cross-Functional AI Task Forces (X-FAITs) for AI Transformation of Software Organizations
by: Gren, Lucas, et al.
Published: (2025)

Test Design and Review Argumentation in AI-Assisted Test Generation
by: Enoiu, Eduard Paul, et al.
Published: (2026)

Exploring Individual Factors in the Adoption of LLMs for Specific Software Engineering Purposes
by: Lambiase, Stefano, et al.
Published: (2025)

Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering
by: Lambiase, Stefano, et al.
Published: (2024)

Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review
by: Lambiase, Stefano, et al.
Published: (2024)

Exploring the Garden of Forking Paths in Empirical Software Engineering Research: A Multiverse Analysis
by: Cassee, Nathan, et al.
Published: (2025)

The Social Psychology of Software Security (Psycurity)
by: Gren, Lucas, et al.
Published: (2024)

Semantic API Alignment: Linking High-level User Goals to APIs
by: Feldt, Robert, et al.
Published: (2024)

Navigating the Complexity of Generative AI Adoption in Software Engineering
by: Russo, Daniel
Published: (2023)

An Empirical Study on Decision-Making Aspects in Responsible Software Engineering for AI
by: Rani, Lekshmi Murali, et al.
Published: (2025)

Qualitative Research Methods in Software Engineering: Past, Present, and Future
by: Seaman, Carolyn, et al.
Published: (2025)

Understanding on the Edge: LLM-generated Boundary Test Explanations
by: Akbarova, Sabinakhon, et al.
Published: (2026)

Adaptive Random Testing with Q-grams: The Illusion Comes True
by: Biagiola, Matteo, et al.
Published: (2024)

Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy
by: Dobslaw, Felix, et al.
Published: (2025)

The Factors Influencing Well-Being in Software Engineers: A Cross-Country Mixed-Method Study
by: Montes, Cristina Martinez, et al.
Published: (2025)

Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions
by: Furia, Carlo A., et al.
Published: (2023)

Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programming Languages and Code Quality
by: Furia, Carlo A., et al.
Published: (2021)

Socio-Technical Well-Being of Quantum Software Communities: An Overview on Community Smells
by: Lambiase, Stefano, et al.
Published: (2026)

How Do Communities of ML-Enabled Systems Smell? A Cross-Sectional Study on the Prevalence of Community Smells
by: Annunziata, Giusy, et al.
Published: (2025)

GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon
by: Tschand, Arya, et al.
Published: (2026)

Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code
by: Della Porta, Antonio, et al.
Published: (2025)

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?
by: Voria, Gianmario, et al.
Published: (2024)

More Is Different: Toward a Theory of Emergence in AI-Native Software Ecosystems
by: Russo, Daniel
Published: (2026)

Bayesian Data Analysis in Empirical Software Engineering Research
by: Furia, Carlo A., et al.
Published: (2018)

Bridging the Socio-Emotional Gap: The Functional Dimension of Human-AI Collaboration for Software Engineering
by: Rani, Lekshmi Murali, et al.
Published: (2026)

Tutorial Debriefing: Applied Statistical Causal Inference in Requirements Engineering
by: Frattini, Julian, et al.
Published: (2025)

Towards Improving the External Validity of Software Engineering Experiments with Transportability Methods
by: Frattini, Julian, et al.
Published: (2026)

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach
by: Yoon, Juyeon, et al.
Published: (2025)

AI In Cybersecurity Education -- Scalable Agentic CTF Design Principles and Educational Outcomes
by: Xi, Haoran, et al.
Published: (2026)

Large Language Models in Thematic Analysis: Prompt Engineering, Evaluation, and Guidelines for Qualitative Software Engineering Research
by: Montes, Cristina Martinez, et al.
Published: (2025)

On the Impact of 3D Visualization of Repository Metrics in Software Engineering Education
by: Di Dario, Dario, et al.
Published: (2024)

Operation is the hardest teacher: estimating DNN accuracy looking for mispredictions
by: Guerriero, Antonio, et al.
Published: (2021)

AI for Requirements Engineering: Industry adoption and Practitioner perspectives
by: Rani, Lekshmi Murali, et al.
Published: (2025)

Automating a Complete Software Test Process Using LLMs: An Automotive Case Study
by: Wang, Shuai, et al.
Published: (2025)

Clotho: Measuring Task-Specific Pre-Generation Test Adequacy for LLM Inputs
by: Yoon, Juyeon, et al.
Published: (2025)

Capturing Semantic Flow of ML-based Systems
by: Yoo, Shin, et al.
Published: (2025)

The Semi-Executable Stack: Agentic Software Engineering and the Expanding Scope of SE
by: Feldt, Robert, et al.
Published: (2026)

DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation
by: Wang, Shuai, et al.
Published: (2026)

Building AI Agents for Autonomous Clouds: Challenges and Design Principles
by: Shetty, Manish, et al.
Published: (2024)