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Maliheh Izadi
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2020 – today
- 2024
- [j9]Mehri Izadi, Maliheh Izadi, Farrokhlagha Heidari:
The potential of an adaptive computerized dynamic assessment tutor in diagnosing and assessing learners' listening comprehension. Educ. Inf. Technol. 29(3): 3637-3661 (2024) - [j8]Mehri Izadi, Maliheh Izadi, Farrokhlagha Heidari:
Correction to: The potential of an adaptive computerized dynamic assessment tutor in diagnosing and assessing learners' listening comprehension. Educ. Inf. Technol. 29(6): 7695 (2024) - [j7]Mehri Izadi, Maliheh Izadi, Farrokhlagha Heidari:
Correction to: The potential of an adaptive computerized dynamic assessment tutor in diagnosing and assessing learners' listening comprehension. Educ. Inf. Technol. 29(14): 19231 (2024) - [j6]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
Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto. J. Syst. Softw. 216: 112115 (2024) - [c17]Aral de Moor
A Transformer-Based Approach for Smart Invocation of Automatic Code Completion. AIware 2024 - [c16]Jonathan Katzy
An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets. FORGE 2024: 74-85 - [c15]Tim van Dam
Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study. FORGE 2024: 91-102 - [c14]Ali Al-Kaswan
Traces of Memorisation in Large Language Models for Code. ICSE 2024: 78:1-78:12 - [c13]Maliheh Izadi
Language Models for Code Completion: A Practical Evaluation. ICSE 2024: 79:1-79:13 - [c12]Agnia Sergeyuk
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review. IDE@ICSE 2024: 95-100 - [e1]Maliheh Izadi, Andrea Di Sorbo, Sebastiano Panichella:
Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering, NLBSE 2024, Lisbon, Portugal, 20 April 2024. ACM 2024, ISBN 979-8-4007-0576-2 [contents] - [i26]Agnia Sergeyuk, Sergey Titov, Maliheh Izadi:
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review. CoRR abs/2401.10739 (2024) - [i25]Maliheh Izadi, Jonathan Katzy, Tim van Dam, Marc Otten, Razvan Mihai Popescu, Arie van Deursen:
Language Models for Code Completion: A Practical Evaluation. CoRR abs/2402.16197 (2024) - [i24]Tim van Dam, Frank van der Heijden, Philippe de Bekker, Berend Nieuwschepen, Marc Otten, Maliheh Izadi:
Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study. CoRR abs/2403.15185 (2024) - [i23]Jonathan Katzy, Razvan Mihai Popescu, Arie van Deursen, Maliheh Izadi:
An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets. CoRR abs/2403.15230 (2024) - [i22]Aral de Moor, Arie van Deursen, Maliheh Izadi:
A Transformer-Based Approach for Smart Invocation of Automatic Code Completion. CoRR abs/2405.14753 (2024) - [i21]Victoria Jackson, Bogdan Vasilescu, Daniel Russo, Paul Ralph, Maliheh Izadi, Rafael Prikladnicki, Sarah D'Angelo, Sarah Inman, Anielle Lisboa, André van der Hoek:
Creativity, Generative AI, and Software Development: A Research Agenda. CoRR abs/2406.01966 (2024) - [i20]Egor Bogomolov, Aleksandra Eliseeva, Timur Galimzyanov, Evgeniy Glukhov, Anton Shapkin, Maria Tigina, Yaroslav Golubev, Alexander Kovrigin, Arie van Deursen, Maliheh Izadi, Timofey Bryksin:
Long Code Arena: a Set of Benchmarks for Long-Context Code Models. CoRR abs/2406.11612 (2024) - [i19]Amirhossein Deljouyi, Roham Koohestani
Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests. CoRR abs/2408.11710 (2024) - [i18]Agnia Sergeyuk, Ekaterina Koshchenko, Ilya Zakharov, Timofey Bryksin, Maliheh Izadi:
The Design Space of in-IDE Human-AI Experience. CoRR abs/2410.08676 (2024) - 2023
- [j5]Maliheh Izadi
Semantically-enhanced topic recommendation systems for software projects. Empir. Softw. Eng. 28(2): 50 (2023) - [c11]Tim van Dam, Maliheh Izadi, Arie van Deursen
Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study. MSR 2023: 170-182 - [c10]Rafael Kallis, Maliheh Izadi, Luca Pascarella, Oscar Chaparro
The NLBSE'23 Tool Competition. NLBSE@ICSE 2023: 1-8 - [c9]Ali Al-Kaswan
The (ab)use of Open Source Code to Train Large Language Models. NLBSE@ICSE 2023: 9-10 - [c8]Ali Al-Kaswan
STACC: Code Comment Classification using SentenceTransformers. NLBSE@ICSE 2023: 28-31 - [c7]Jonathan Katzy, Maliheh Izadi, Arie van Deursen:
On the Impact of Language Selection for Training and Evaluating Programming Language Models. SCAM 2023: 271-276 - [c6]Ali Al-Kaswan
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie. SANER 2023: 260-271 - [d3]Jonathan Katzy
On the Impact of Language Selection for Training and Evaluating Programming Language Models. Zenodo, 2023 - [i17]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen:
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries. CoRR abs/2301.01701 (2023) - [i16]Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen:
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge. CoRR abs/2302.07735 (2023) - [i15]Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen:
STACC: Code Comment Classification using SentenceTransformers. CoRR abs/2302.13149 (2023) - [i14]Ali Al-Kaswan, Maliheh Izadi:
The (ab)use of Open Source Code to Train Large Language Models. CoRR abs/2302.13681 (2023) - [i13]Tim van Dam, Maliheh Izadi, Arie van Deursen:
Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study. CoRR abs/2304.12269 (2023) - [i12]Jonathan Katzy, Maliheh Izadi, Arie van Deursen:
On the Impact of Language Selection for Training and Evaluating Programming Language Models. CoRR abs/2308.13354 (2023) - [i11]Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen:
Traces of Memorisation in Large Language Models for Code. CoRR abs/2312.11658 (2023) - 2022
- [j4]Maliheh Izadi
Predicting the objective and priority of issue reports in software repositories. Empir. Softw. Eng. 27(2): 50 (2022) - [c5]Maliheh Izadi, Roberta Gismondi, Georgios Gousios:
CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences. ICSE 2022: 401-412 - [c4]Maliheh Izadi:
CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers. NLBSE 2022: 44-47 - [c3]Maliheh Izadi, Matin Nili Ahmadabadi:
On the Evaluation of NLP-based Models for Software Engineering. NLBSE 2022: 48-50 - [d2]Ali Al-Kaswan
BinT5: Binary Code Summarisation Model. Zenodo, 2022 - [d1]Ali Al-Kaswan
CAPYBARA: Decompiled Binary Functions and Related Summaries. Zenodo, 2022 - [i10]Maliheh Izadi, Roberta Gismondi, Georgios Gousios:
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences. CoRR abs/2202.06689 (2022) - [i9]Maliheh Izadi, Matin Nili Ahmadabadi:
On the Evaluation of NLP-based Models for Software Engineering. CoRR abs/2203.17166 (2022) - [i8]Maliheh Izadi:
CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers. CoRR abs/2203.17196 (2022) - [i7]Maliheh Izadi, Mahtab Nejati, Abbas Heydarnoori
Semantically-enhanced Topic Recommendation System for Software Projects. CoRR abs/2206.00085 (2022) - [i6]Maliheh Izadi, Pooya Rostami Mazrae, Tom Mens, Arie van Deursen:
LinkFormer: Automatic Contextualised Link Recovery of Software Artifacts in both Project-based and Transfer Learning Settings. CoRR abs/2211.00381 (2022) - 2021
- [j3]Maliheh Izadi
Topic recommendation for software repositories using multi-label classification algorithms. Empir. Softw. Eng. 26(5): 93 (2021) - [c2]Pooya Rostami Mazrae
Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data. ICSME 2021: 263-273 - [i5]Pooya Rostami Mazrae, Maliheh Izadi, Abbas Heydarnoori:
Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data. CoRR abs/2107.01894 (2021) - 2020
- [j2]Alireza Aghamohammadi, Maliheh Izadi
Generating summaries for methods of event-driven programs: An Android case study. J. Syst. Softw. 170: 110800 (2020) - [c1]MohammadReza Tavakoli, Maliheh Izadi
Improving Quality of a Post's Set of Answers in Stack Overflow. SEAA 2020: 504-512 - [i4]MohammadReza Tavakoli, Maliheh Izadi, Abbas Heydarnoori:
Improving Quality of a Post's Set of Answers in Stack Overflow. CoRR abs/2006.00341 (2020) - [i3]Maliheh Izadi, Siavash Ganji, Abbas Heydarnoori:
Topic Recommendation for Software Repositories using Multi-label Classification Algorithms. CoRR abs/2010.09116 (2020) - [i2]Maliheh Izadi, Kiana Akbari, Abbas Heydarnoori:
Predicting the Objective and Priority of Issue Reports in a Cross project Context. CoRR abs/2012.10951 (2020)
2010 – 2019
- 2018
- [j1]Mahdi Jalili
Evaluating Collaborative Filtering Recommender Algorithms: A Survey. IEEE Access 6: 74003-74024 (2018) - [i1]Alireza Aghamohammadi, Abbas Heydarnoori, Maliheh Izadi:
Generating Summaries for Methods of Event-Driven Programs: an Android Case Study. CoRR abs/1812.04530 (2018)
Coauthor Index
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last updated on 2024-11-19 20:48 CET by the dblp team
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