Russo, Daniel

Navigating the Complexity of Generative AI Adoption in Software Engineering

Russo, D. (2024) · ACM Transactions on Software Engineering and Methodology

Technology Adoption and User BehaviourSoftware Engineering Techniques and Practices

Cited by 217

Effect of Information Presentation on Fairness Perceptions of Machine Learning Predictors

van Berkel, N., Goncalves, J., Russo, D., Hosio, S., & Skov, M. B. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 84

Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto

Russo, D., Baltes, S., van Berkel, N., Avgeriou, P., Calefato, F., Cabrero-Daniel, B., Catolino, G., Cito, J., Ernst, N., Fritz, T., et al. (2024) · Journal of Systems and Software

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 34

Navigating the Complexity of Generative AI Adoption in Software Engineering—RCR Report

Russo, D. (2024) · ACM Transactions on Software Engineering and Methodology

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 27

The Impact of Generative AI on Creativity in Software Development: A Research Agenda

Jackson, V., Vasilescu, B., Russo, D., Ralph, P., Prikladnicki, R., Izadi, M., D’Angelo, S., Inman, S., Andrade, A., & van der Hoek, A. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 23

A disruptive research playbook for studying disruptive innovations

Storey, M.-A., Russo, D., Novielli, N., Kobayashi, T., & Wang, D. (2024) · ACM Transactions on Software Engineering and Methodology

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 15