Izadi, Maliheh

CodeFill: multi-token code completion by jointly learning from structure and naming sequences

Izadi, M., Gismondi, R., & Gousios, G. (2022) · Proceedings of the 44th International Conference on Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 86

Language Models for Code Completion: A Practical Evaluation

Izadi, M., Katzy, J., van Dam, T., Otten, M., Popescu, R. M., & van Deursen, A. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 57

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

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 Transformer-Based Approach for Smart Invocation of Automatic Code Completion

de Moor, A., van Deursen, A., & Izadi, M. (2024) · Proceedings of the 1st ACM International Conference on AI-Powered Software

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 7

Long code arena: a set of benchmarks for long-context code models

Bogomolov, E., Eliseeva, A., Galimzyanov, T., Glukhov, E., Shapkin, A., Tigina, M., Golubev, Y., Kovrigin, A., van Deursen, A., Izadi, M., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 6