Evaluating Collaborative Filtering Recommender Algorithms: A Survey. - Mahdi Jalili; Sajad Ahmadian; Maliheh Izadi; Parham Moradi; Mostafa Salehi (IEEE Access, 2018)

Improving Quality of a Post's Set of Answers in Stack Overflow. - MohammadReza Tavakoli; Maliheh Izadi; Abbas Heydarnoori (SEAA, 2020)

Topic Recommendation for Software Repositories using Multi-label Classification Algorithms. - Maliheh Izadi; Siavash Ganji; Abbas Heydarnoori (CoRR, 2020)

Predicting the Objective and Priority of Issue Reports in a Cross project Context. - Maliheh Izadi; Kiana Akbari; Abbas Heydarnoori (CoRR, 2020)

Generating summaries for methods of event-driven programs: An Android case study. - Alireza Aghamohammadi; Maliheh Izadi; Abbas Heydarnoori (J. Syst. Softw., 2020)

Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data. - Pooya Rostami Mazrae; Maliheh Izadi; Abbas Heydarnoori (ICSME, 2021)

Topic recommendation for software repositories using multi-label classification algorithms. - Maliheh Izadi; Abbas Heydarnoori; Georgios Gousios (Empir. Softw. Eng., 2021)

CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences. - Maliheh Izadi; Roberta Gismondi; Georgios Gousios (ICSE, 2022)

CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers. - Maliheh Izadi (NLBSE, 2022)

On the Evaluation of NLP-based Models for Software Engineering. - Maliheh Izadi; Matin Nili Ahmadabadi (NLBSE, 2022)

Semantically-enhanced Topic Recommendation System for Software Projects. - Maliheh Izadi; Mahtab Nejati; Abbas Heydarnoori (CoRR, 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)

Predicting the objective and priority of issue reports in software repositories. - Maliheh Izadi; Kiana Akbari; Abbas Heydarnoori (Empir. Softw. Eng., 2022)

BinT5: Binary Code Summarisation Model. - Ali Al-Kaswan; Toufique Ahmed; Maliheh Izadi; Anand Ashok Sawant; Prem Devanbu; Arie van Deursen (Zenodo, 2022)

CAPYBARA: Decompiled Binary Functions and Related Summaries. - Ali Al-Kaswan; Toufique Ahmed; Maliheh Izadi; Anand Ashok Sawant; Prem Devanbu; Arie van Deursen (Zenodo, 2022)

Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study. - Tim van Dam; Maliheh Izadi; Arie van Deursen (MSR, 2023)

The (ab)use of Open Source Code to Train Large Language Models. - Ali Al-Kaswan; Maliheh Izadi (NLBSE@ICSE, 2023)

STACC: Code Comment Classification using SentenceTransformers. - Ali Al-Kaswan; Maliheh Izadi; Arie van Deursen (NLBSE@ICSE, 2023)

The NLBSE'23 Tool Competition. - Rafael Kallis; Maliheh Izadi; Luca Pascarella; Oscar Chaparro; Pooja Rani 001 (NLBSE@ICSE, 2023)

On the Impact of Language Selection for Training and Evaluating Programming Language Models. - Jonathan Katzy; Maliheh Izadi; Arie van Deursen (SCAM, 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 (SANER, 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)

Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge. - Ali Al-Kaswan; Maliheh Izadi; Arie van Deursen (CoRR, 2023)

Semantically-enhanced topic recommendation systems for software projects. - Maliheh Izadi; Mahtab Nejati; Abbas Heydarnoori (Empir. Softw. Eng., 2023)

On the Impact of Language Selection for Training and Evaluating Programming Language Models. - Jonathan Katzy; Maliheh Izadi; Arie van Deursen (Zenodo, 2023)

A Transformer-Based Approach for Smart Invocation of Automatic Code Completion. - Aral de Moor; Arie van Deursen; Maliheh Izadi (AIware, 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 (FORGE, 2024)

An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets. - Jonathan Katzy; Razvan Mihai Popescu; Arie van Deursen; Maliheh Izadi (FORGE, 2024)

Traces of Memorisation in Large Language Models for Code. - Ali Al-Kaswan; Maliheh Izadi; Arie van Deursen (ICSE, 2024)

Language Models for Code Completion: A Practical Evaluation. - Maliheh Izadi; Jonathan Katzy; Tim van Dam; Marc Otten; Razvan Mihai Popescu; Arie van Deursen (ICSE, 2024)

Maven Unzipped: Exploring the Impact of Library Packaging on the Ecosystem. - Mehdi Keshani; Gideon Bot; Priyam Rungta; Maliheh Izadi; Arie van Deursen; Sebastian Proksch 001 (ICSME, 2024)

In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review. - Agnia Sergeyuk; Sergey Titov; Maliheh Izadi (IDE@ICSE, 2024)

Creativity, Generative AI, and Software Development: A Research Agenda. - Victoria Jackson; Bogdan Vasilescu; Daniel Russo 002; Paul Ralph; Maliheh Izadi; Rafael Prikladnicki; Sarah D'Angelo; Sarah Inman; Anielle Lisboa; André van der Hoek (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)

The Design Space of in-IDE Human-AI Experience. - Agnia Sergeyuk; Ekaterina Koshchenko; Ilya Zakharov; Timofey Bryksin; Maliheh Izadi (CoRR, 2024)

Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto. - Daniel Russo 002; Sebastian Baltes; Niels van Berkel; Paris Avgeriou; Fabio Calefato; Beatriz Cabrero Daniel; Gemma Catolino; Jürgen Cito; Neil A. Ernst; Thomas Fritz 001; Hideaki Hata; Reid Holmes; et al. (J. Syst. Softw., 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., 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., 2024)

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models. - Jonathan Katzy; Razvan Mihai Popescu; Arie van Deursen; Maliheh Izadi (Forge@ICSE, 2025)

Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests. - Amirhossein Deljouyi; Roham Koohestani; Maliheh Izadi; Andy Zaidman (ICSE, 2025)

Rethinking IDE Customization for Enhanced HAX: A Hyperdimensional Perspective. - Roham Koohestani; Maliheh Izadi (IDE@ICSE, 2025)

When People Come First: A Human-Centered Approach to Computer Science Education. - Ilya Zakharov; Liudmila Piatnitckaia; Anastasiia Birillo; Agnia Sergeyuk; Maliheh Izadi (ITiCSE (2), 2025)

Automating the Detection of Code Vulnerabilities by Analyzing GitHub Issues. - Daniele Cipollone; Changjie Wang; Mariano Scazzariello; Simone Ferlin; Maliheh Izadi; Dejan Kostic; Marco Chiesa (LLM4Code@ICSE, 2025)

How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks Before and After Fine-tuning. - Fabio Salerno; Ali Al-Kaswan; Maliheh Izadi (MSR, 2025)

Message from NLBSE 2025 Program Chairs. - Maliheh Izadi; Andrea Di Sorbo; Sebastiano Panichella (NLBSE@ICSE, 2025)

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; Arie van Deursen; Maliheh Izadi (PROMISE, 2025)

A Multi-agent Onboarding Assistant based on Large Language Models, Retrieval Augmented Generation, and Chain-of-Thought. - Andrei Cristian Ionescu; Sergey Titov; Maliheh Izadi (SIGSOFT FSE Companion, 2025)

HyperSeq: A Hyper-Adaptive Representation for Predictive Sequencing of States. - Roham Koohestani; Maliheh Izadi (SIGSOFT FSE Companion, 2025)

Enhancing Human-IDE Interaction in the SDLC using LLM-based Mediator Agents. - Ziyou Li; Maliheh Izadi (SIGSOFT FSE Companion, 2025)

Code Red! On the Harmfulness of Applying Off-the-Shelf Large Language Models to Programming Tasks. - Ali Al-Kaswan; Sebastian Deatc; Begüm Koç; Arie van Deursen; Maliheh Izadi (Proc. ACM Softw. Eng., 2025)

Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Enhancement Protocol. - Roham Koohestani; Philippe de Bekker; Maliheh Izadi (CoRR, 2025)

Human-AI Experience in Integrated Development Environments: A Systematic Literature Review. - Agnia Sergeyuk; Ilya Zakharov; Ekaterina Koshchenko; Maliheh Izadi (CoRR, 2025)

The Impact of Generative AI on Creativity in Software Development: A Research Agenda. - Victoria Jackson; Bogdan Vasilescu; Daniel Russo 002; Paul Ralph; Rafael Prikladnicki; Maliheh Izadi; Sarah D'Angelo; Sarah Inman; Anielle Severo Lisbôa de Andrade; André van der Hoek (ACM Trans. Softw. Eng. Methodol., 2025)

TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs. - Daniele Cipollone; Egor Bogomolov; Arie van Deursen; Maliheh Izadi (CoRR, 2025)