Publications

Publications by categories in reversed chronological order.

2025

  1. Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Enhancement Protocol
    Roham Koohestani, Philippe Bekker, and Maliheh Izadi
    2025
  2. Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks
    Ali Al-kaswan, Sebastian Deatc, Begum Koc, Arie Deursen , and 1 more author
    In 2025 ACM International Conference on the Foundations of Software Engineering (FSE), 2025
  3. A Qualitative Investigation into LLM-Generated Multilingual Code Comments and Automatic Evaluation Metrics
    Jonathan Katzy, Razvan Mihai Popescu, Arie Deursen, and Maliheh Izadi
    In The International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE), 2025
  4. Long code arena: a set of benchmarks for long-context code models
    Egor Bogomolov, Aleksandra Eliseeva, Timur Galimzyanov, Evgeniy Glukhov , and 7 more authors
    arXiv preprint arXiv:2406.11612, 2025
  5. The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models
    Jonathan Katzy, Razvan Mihai Popescu, Arie Deursen, and Maliheh Izadi
    In 2024 The 2nd ACM international conference on AI Foundation Models and Software Engineering (FORGE), 2025
  6. Rethinking IDE Customization for Enhanced HAX: A Hyperdimensional Perspective
    Roham Koohestani, and Maliheh Izadi
    In 2025 The 2nd Workshop on Integrated Development Environments (IDE), 2025
  7. How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks before and after Fine-tuning
    Fabio Salerno, Ali Al-Kaswan, and Maliheh Izadi
    In 2025 IEEE/ACM 22th International Conference on Mining Software Repositories (MSR), 2025
  8. Automating the Detection of Code Vulnerabilities by Analyzing GitHub Issues
    Daniele Cipollone, Changjie Wang, Mariano Scazzariello, Simone Ferlin , and 3 more authors
    arXiv preprint arXiv:2501.05258, 2025
  9. Leveraging large language models for enhancing the understandability of generated unit tests
    Amirhossein Deljouyi, Roham Koohestani, Maliheh Izadi, and Andy Zaidman
    In 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE), 2025
  10. Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
    Agnia Sergeyuk, Ilya Zakharov, Ekaterina Koshchenko, and Maliheh Izadi
    2025
  11. HyperSeq: A Hyper-Adaptive Representation for Predictive Sequencing of States
    Roham Koohestani, and Maliheh Izadi
    In 2025 ACM International Conference on the Foundations of Software Engineering (FSE), 2025

2024

  1. The Design Space of in-IDE Human-AI Experience
    Agnia Sergeyuk, Ekaterina Koshchenko, Ilya Zakharov, Timofey Bryksin , and 1 more author
    arXiv preprint arXiv:2410.08676, 2024
  2. An exploratory investigation into code license infringements in large language model training datasets
    Jonathan Katzy, Razvan Popescu, Arie Van Deursen, and Maliheh Izadi
    2024
  3. Beyond Acceptance Rates: The Impact of JetBrains AI Assistant and FLCC
    Remco Schrijver, Pouria Derakhshanfar, Annibale Panichella, Arie Deursen , and 1 more author
    2024
  4. Generative AI in Software Engineering Must be Human-centered: The Copenhagen Manifesto
    Daniel Russo, Sebastian Baltes, Niels Berkel, Paris Avgeriou , and 31 more authors
    Journal of Systems and Software, 2024
  5. Creativity, Generative AI, and Software Development: A Research Agenda
    Victoria Jackson, Bogdan Vasilescu, Daniel Russo, Paul Ralph , and 6 more authors
    2024
  6. A transformer-based approach for smart invocation of automatic code completion
    Aral Moor, Arie Deursen, and Maliheh Izadi
    2024
  7. In-ide human-ai experience in the era of large language models; a literature review
    Agnia Sergeyuk, Sergey Titov, and Maliheh Izadi
    In 2024 The 1st Workshop on Integrated Development Environments (IDE), 2024
  8. Investigating the performance of language models for completing code in functional programming languages: a haskell case study
    Tim Van Dam, Frank Van Heijden, Philippe De Bekker, Berend Nieuwschepen , and 2 more authors
    In 2024 The 1st ACM international conference on AI Foundation Models and Software Engineering (FORGE), 2024
  9. Language models for code completion: A practical evaluation
    Maliheh Izadi, Jonathan Katzy, Tim Van Dam, Marc Otten , and 2 more authors
    In 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), 2024
  10. Traces of memorisation in large language models for code
    Ali Al-Kaswan, Maliheh Izadi, and Arie Van Deursen
    In 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), 2024
  11. Maven Unzipped: Exploring the Impact of Library Packaging on the Ecosystem
    Mehdi Keshani, Gideon Bot, Priyam Rungta, Maliheh Izadi , and 2 more authors
    In 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
  12. Message from NLBSE 2024 Program Chairs
    Maliheh Izadi, Andrea Di Sorbo, and Sebastiano Panichella
    2024
  13. Message from the Industry Track Co-Chairs
    Maliheh Izadi, and Laura Moreno
    2024
  14. The potential of an adaptive computerized dynamic assessment tutor in diagnosing and assessing learners’ listening comprehension
    Mehri Izadi, Maliheh Izadi, and Farrokhlagha Heidari
    Education and Information Technologies, 2024
  15. The Impact of Generative AI on Creativity in Software Development: A Research Agenda
    Victoria Jackson, Bogdan Vasilescu, Daniel Russo, Paul Ralph , and 6 more authors
    2024

2023

  1. On the impact of language selection for training and evaluating programming language models
    Jonathan Katzy, Maliheh Izadi, and Arie Van Deursen
    In 2023 IEEE 23rd International Working Conference on Source Code Analysis and Manipulation (SCAM), 2023
  2. Enriching source code with contextual data for code completion models: An empirical study
    Tim Dam, Maliheh Izadi, and Arie Deursen
    In 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), 2023
  3. Extending source code pre-trained language models to summarise decompiled binaries
    Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant , and 2 more authors
    In 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
  4. Semantically-enhanced topic recommendation systems for software projects
    Maliheh Izadi, Mahtab Nejati, and Abbas Heydarnoori
    Empirical Software Engineering, 2023
  5. Stacc: Code comment classification using sentencetransformers
    Ali Al-Kaswan, Maliheh Izadi, and Arie Van Deursen
    In 2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE), 2023
  6. Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge [PRESENTATION]
    Ali Al-Kaswan, Maliheh Izadi, and Arie Deursen
    In 1st IEEE Conference on Secure and Trustworthy Machine Learning, 2023
  7. The (ab) use of open source code to train large language models
    Ali Al-Kaswan, and Maliheh Izadi
    In 2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE), 2023

2022

  1. CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences
    Maliheh Izadi, Roberta Gismondi, and Georgios Gousios
    In 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022
  2. Predicting the objective and priority of issue reports in software repositories
    Maliheh Izadi, Kiana Akbari, and Abbas Heydarnoori
    Empirical Software Engineering, 2022
  3. An empirical study on data leakage and generalizability of link prediction models for issues and commits
    Maliheh Izadi, Pooya Rostami Mazrae, Tom Mens, and Arie Deursen
    arXiv preprint arXiv:2211.00381, 2022
  4. CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers
    Maliheh Izadi
    In 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE), 2022
  5. On the Evaluation of NLP-based Models for Software Engineering
    Maliheh Izadi, and Matin Nili Ahmadabadi
    In 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE), 2022

2021

  1. Automated recovery of issue-commit links leveraging both textual and non-textual data
    Pooya Rostami Mazrae, Maliheh Izadi, and Abbas Heydarnoori
    In 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021
  2. Topic recommendation for software repositories using multi-label classification algorithms
    Maliheh Izadi, Abbas Heydarnoori, and Georgios Gousios
    Empirical Software Engineering, 2021

2020

  1. Generating summaries for methods of event-driven programs: An Android case study
    Alireza Aghamohammadi, Maliheh Izadi, and Abbas Heydarnoori
    Journal of Systems and Software, 2020
  2. Improving quality of a post’s set of answers in stack overflow
    Mohammadreza Tavakoli, Maliheh Izadi, and Abbas Heydarnoori
    In 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2020

2018

  1. Evaluating collaborative filtering recommender algorithms: a survey
    Mahdi Jalili, Sajad Ahmadian, Maliheh Izadi, Parham Moradi , and 1 more author
    IEEE access, 2018

2017

  1. The Intonation Patterns of English and Persian Sentences: A Contrastive Study
    Mehri Izadi, Malihe Izadi, and Behnam Azarsa
    Research Journal of Education, 2017

2015

  1. Recommender systems for social networks analysis and mining: precision versus diversity
    Amin Javari, Malihe Izadi, and Mahdi Jalili
    2015

2014

  1. Unifying inconsistent evaluation metrics in recommender systems
    Maliheh Izadi, Amin Javari, and Mahdi Jalilii
    Proceedings RecSys Conference, REDD Workshop, 2014