Maliheh Izadi

According to our database, Maliheh Izadi authored at least 38 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction to: The potential of an adaptive computerized dynamic assessment tutor in diagnosing and assessing learners' listening comprehension.

Mehri Izadi, Maliheh Izadi, Farrokhlagha Heidari

Educ. Inf. Technol., October, 2024

The potential of an adaptive computerized dynamic assessment tutor in diagnosing and assessing learners' listening comprehension.

Mehri Izadi, Maliheh Izadi, Farrokhlagha Heidari

Educ. Inf. Technol., February, 2024

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

Daniel Russo, Sebastian Baltes, Niels van Berkel, Paris Avgeriou, Fabio Calefato, Beatriz Cabrero-Daniel, Gemma Catolino, Jürgen Cito, Neil A. Ernst, Thomas Fritz, Hideaki Hata, Reid Holmes, Maliheh Izadi, Foutse Khomh, Mikkel Baun Kjærgaard, Grischa Liebel, Alberto Lluch-Lafuente, Stefano Lambiase, Walid Maalej, Gail C. Murphy, Nils Brede Moe, Gabrielle O'Brien, Elda Paja, Mauro Pezzè, John Stouby Persson, Rafael Prikladnicki, Paul Ralph, Martin P. Robillard, Thiago Rocha Silva, Klaas-Jan Stol, Margaret-Anne D. Storey, Viktoria Stray, Paolo Tell, Christoph Treude, Bogdan Vasilescu

J. Syst. Softw., 2024

The Design Space of in-IDE Human-AI Experience.

Agnia Sergeyuk, Ekaterina Koshchenko, Ilya Zakharov, Timofey Bryksin, Maliheh Izadi

CoRR, 2024

Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests.

Amirhossein Deljouyi, Roham Koohestani, Maliheh Izadi, Andy Zaidman

CoRR, 2024

Long Code Arena: a Set of Benchmarks for Long-Context Code Models.

Egor Bogomolov, Aleksandra Eliseeva, Timur Galimzyanov, Evgeniy Glukhov, Anton Shapkin, Maria Tigina, Yaroslav Golubev, Alexander Kovrigin, Arie van Deursen, Maliheh Izadi, Timofey Bryksin

CoRR, 2024

Creativity, Generative AI, and Software Development: A Research Agenda.

Victoria Jackson, Bogdan Vasilescu, Daniel Russo, Paul Ralph, Maliheh Izadi, Rafael Prikladnicki, Sarah D'Angelo, Sarah Inman, Anielle Lisboa, André van der Hoek

CoRR, 2024

In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review.

Agnia Sergeyuk, Sergey Titov, Maliheh Izadi

Proceedings of the 1st ACM/IEEE Workshop on Integrated Development Environments, 2024

Language Models for Code Completion: A Practical Evaluation.

Maliheh Izadi, Jonathan Katzy, Tim van Dam, Marc Otten, Razvan Mihai Popescu, Arie van Deursen

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Traces of Memorisation in Large Language Models for Code.

Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets.

Jonathan Katzy, Razvan Mihai Popescu, Arie van Deursen, Maliheh Izadi

Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study.

Tim van Dam, Frank van der Heijden, Philippe de Bekker, Berend Nieuwschepen, Marc Otten, Maliheh Izadi

Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

A Transformer-Based Approach for Smart Invocation of Automatic Code Completion.

Aral de Moor, Arie van Deursen, Maliheh Izadi

Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

2023

On the Impact of Language Selection for Training and Evaluating Programming Language Models.

Jonathan Katzy, Maliheh Izadi, Arie van Deursen

Dataset, August, 2023

Semantically-enhanced topic recommendation systems for software projects.

Maliheh Izadi, Mahtab Nejati, Abbas Heydarnoori

Empir. Softw. Eng., March, 2023

Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge.

Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen

CoRR, 2023

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries.

Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen

CoRR, 2023

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie.

Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen

Proceedings of the IEEE International Conference on Software Analysis, 2023

On the Impact of Language Selection for Training and Evaluating Programming Language Models.

Jonathan Katzy, Maliheh Izadi, Arie van Deursen

Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 2023

The NLBSE'23 Tool Competition.

Rafael Kallis, Maliheh Izadi, Luca Pascarella, Oscar Chaparro, Pooja Rani

Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

STACC: Code Comment Classification using SentenceTransformers.

Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen

Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

The (ab)use of Open Source Code to Train Large Language Models.

Ali Al-Kaswan, Maliheh Izadi

Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study.

Tim van Dam, Maliheh Izadi, Arie van Deursen

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

2022

CAPYBARA: Decompiled Binary Functions and Related Summaries.

Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Prem Devanbu, Arie van Deursen

Dataset, October, 2022

BinT5: Binary Code Summarisation Model.

Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Prem Devanbu, Arie van Deursen

Dataset, October, 2022

Predicting the objective and priority of issue reports in software repositories.

Maliheh Izadi, Kiana Akbari, Abbas Heydarnoori

Empir. Softw. Eng., 2022

LinkFormer: Automatic Contextualised Link Recovery of Software Artifacts in both Project-based and Transfer Learning Settings.

Maliheh Izadi, Pooya Rostami Mazrae, Tom Mens, Arie van Deursen

CoRR, 2022

Semantically-enhanced Topic Recommendation System for Software Projects.

Maliheh Izadi, Mahtab Nejati, Abbas Heydarnoori

CoRR, 2022

On the Evaluation of NLP-based Models for Software Engineering.

Maliheh Izadi, Matin Nili Ahmadabadi

Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 2022

CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers.

Maliheh Izadi

Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 2022

CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences.

Maliheh Izadi, Roberta Gismondi, Georgios Gousios

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Topic recommendation for software repositories using multi-label classification algorithms.

Maliheh Izadi, Abbas Heydarnoori, Georgios Gousios

Empir. Softw. Eng., 2021

Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data.

Pooya Rostami Mazrae, Maliheh Izadi, Abbas Heydarnoori

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

2020

Generating summaries for methods of event-driven programs: An Android case study.

Alireza Aghamohammadi, Maliheh Izadi, Abbas Heydarnoori

J. Syst. Softw., 2020

Predicting the Objective and Priority of Issue Reports in a Cross project Context.

Maliheh Izadi, Kiana Akbari, Abbas Heydarnoori

CoRR, 2020

Topic Recommendation for Software Repositories using Multi-label Classification Algorithms.

Maliheh Izadi, Siavash Ganji, Abbas Heydarnoori

CoRR, 2020

Improving Quality of a Post's Set of Answers in Stack Overflow.

MohammadReza Tavakoli, Maliheh Izadi, Abbas Heydarnoori

Proceedings of the 46th Euromicro Conference on Software Engineering and Advanced Applications, 2020

2018

Evaluating Collaborative Filtering Recommender Algorithms: A Survey.

Mahdi Jalili, Sajad Ahmadian, Maliheh Izadi, Parham Moradi, Mostafa Salehi

IEEE Access, 2018