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
    under review, 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 Maliheh Izadi
    In ACM International Conference on the Foundations of Software Engineering (FSE), main track, 2025
  3. Leveraging large language models for enhancing the understandability of generated unit tests
    Amirhossein Deljouyi, Roham Koohestani, Maliheh Izadi, and Andy Zaidman
    In IEEE/ACM 47th International Conference on Software Engineering (ICSE), main track, 2025
  4. HyperSeq: A Hyper-Adaptive Representation for Predictive Sequencing of States
    Roham Koohestani, and Maliheh Izadi
    In ACM International Conference on the Foundations of Software Engineering (FSE), 2025
  5. A Multi-agent Onboarding Assistant based on Large Language Models, Retrieval Augmented Generation, and Chain-of-Thought
    Andrei Cristian Ionescu, Sergey Titov, and Maliheh Izadi
    In ACM International Conference on the Foundations of Software Engineering (FSE), 2025
  6. Enhancing Human-IDE Interaction in the SDLC using LLM-based Mediator Agents
    Ziyou Li, and Maliheh Izadi
    In The 1st International Workshop on AI-Augmented SDLC, co-located with (FSE), 2025
  7. A Qualitative Investigation into LLM-Generated Multilingual Code Comments and Automatic Evaluation Metrics
    Jonathan Katzy, Yongcheng Huang, Gopal-Raj Panchu, Maksym Ziemlewski, Paris Loizides, Sander Vermeulen , and 2 more authors
    In The International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE), 2025
  8. Long Code Arena: a Set of Benchmarks for Long-context Code Models
    Egor Bogomolov, Aleksandra Eliseeva, Timur Galimzyanov, Evgeniy Glukhov, Anton Shapkin, Maria Tigina , and 5 more authors
    under review, 2025
  9. The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models
    Jonathan Katzy, Razvan Mihai Popescu, Arie Deursen, and Maliheh Izadi
    In The 2nd ACM International Conference on AI Foundation Models and Software Engineering (FORGE), 2025
  10. 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 IEEE/ACM 22th International Conference on Mining Software Repositories (MSR), 2025
  11. Rethinking IDE Customization for Enhanced HAX: A Hyperdimensional Perspective
    Roham Koohestani, and Maliheh Izadi
    In The 2nd Workshop on Integrated Development Environments (IDE), 2025
  12. Automating the Detection of Code Vulnerabilities by Analyzing GitHub Issues
    Daniele Cipollone, Changjie Wang, Mariano Scazzariello, Simone Ferlin, Maliheh Izadi, Dejan Kostic , and 1 more author
    In The 2nd International Workshop on LLM4Code, co-located with ICSE, 2025
  13. Enhancing Large Language Model Integration in Integrated Development Environments
    Daniele Cipollone
    In ACM International Conference on the Foundations of Software Engineering (FSE), Doctoral Symposium, 2025
  14. Mediating between Human Programmers and Integrated Development Environments using LLM-based Agents
    Ziyou Li
    In ACM International Conference on the Foundations of Software Engineering (FSE), Doctoral Symposium, 2025
  15. Human-AI Experience in Integrated Development Environments: A Systematic Literature Review
    Agnia Sergeyuk, Ilya Zakharov, Ekaterina Koshchenko, and Maliheh Izadi
    under review, 2025

2024

  1. The Design Space of in-IDE Human-AI Experience
    Agnia Sergeyuk, Ekaterina Koshchenko, Ilya Zakharov, Timofey Bryksin, and Maliheh Izadi
    under review, 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
    In The 2nd ACM International Conference on AI Foundation Models and Software Engineering (FORGE), 2024
  3. Beyond Acceptance Rates: The Impact of JetBrains AI Assistant and FLCC
    Remco Schrijver, Pouria Derakhshanfar, Annibale Panichella, Arie Deursen, and Maliheh Izadi
    2024
  4. Generative AI in Software Engineering Must be Human-centered: The Copenhagen Manifesto
    Daniel Russo, Sebastian Baltes, Niels Berkel, Paris Avgeriou, Fabio Calefato, Beatriz Cabrero-Daniel , and 29 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, Maliheh Izadi, Rafael Prikladnicki , and 4 more authors
    2024
  6. A Transformer-based Approach for Smart Invocation of Automatic Code Completion
    Aral Moor, Arie Deursen, and Maliheh Izadi
    In The 1st ACM International Conference on AI-powered Software (AIware), 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 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, Marc Otten, and Maliheh Izadi
    In 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, Razvan Mihai Popescu, and Arie Van Deursen
    In 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 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, Arie Van Deursen, and Sebastian Proksch
    In IEEE International Conference on Software Maintenance and Evolution (ICSME), 2024
  12. Towards Safe, Secure, and Usable LLMs4Code
    Ali Al-kaswan
    In IEEE/ACM 46th International Conference on Software Engineering (ICSE), Doctoral Symposium, 2024
  13. Programming Language Models in Multilingual Settings
    Jonathan Katzy
    In IEEE/ACM 46th International Conference on Software Engineering (ICSE), Doctoral Symposium, 2024
  14. Message from NLBSE 2024 Program Chairs
    Maliheh Izadi, Andrea Di Sorbo, and Sebastiano Panichella
    2024
  15. Message from the Industry Track Co-Chairs
    Maliheh Izadi, and Laura Moreno
    2024
  16. 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
  17. The Impact of Generative AI on Creativity in Software Development: A Research Agenda
    Victoria Jackson, Bogdan Vasilescu, Daniel Russo, Paul Ralph, Maliheh Izadi, Rafael Prikladnicki , and 4 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 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 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, Premkumar Devanbu, and Arie Deursen
    In 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 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
    Ali Al-Kaswan, Maliheh Izadi, and Arie Deursen
    In The 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 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 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
    2022
  4. CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers
    Maliheh Izadi
    In 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 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 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 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 Mostafa Salehi
    IEEE access, 2018

2017

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

2015

  1. Recommender Systems for Social Networks Analysis and Mining: Precision versus Diversity
    Amin Javari, Maliheh Izadi, and Mahdi Jalili
    2015

2014

  1. Unifying Inconsistent Evaluation Metrics in Recommender Systems
    Maliheh Izadi, Amin Javari, and Mahdi Jalilii
    REDD Workshop, co-located with RecSys, 2014