Maliheh Izadi
Orcid: 0000-0001-5093-5523Affiliations:
- Delft University of Technology, The Netherlands
According to our database1,
Maliheh Izadi
authored at least 53 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
The Impact of Generative AI on Creativity in Software Development: A Research Agenda.
ACM Trans. Softw. Eng. Methodol., June, 2025
Human-AI Experience in Integrated Development Environments: A Systematic Literature Review.
CoRR, March, 2025
Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Enhancement Protocol.
CoRR, March, 2025
Code Red! On the Harmfulness of Applying Off-the-Shelf Large Language Models to Programming Tasks.
Proc. ACM Softw. Eng., 2025
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025
A Multi-agent Onboarding Assistant based on Large Language Models, Retrieval Augmented Generation, and Chain-of-Thought.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025
A Qualitative Investigation into LLM-Generated Multilingual Code Comments and Automatic Evaluation Metrics.
Proceedings of the 21st International Conference on Predictive Models and Data Analytics in Software Engineering, 2025
Proceedings of the IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2025
How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks Before and After Fine-tuning.
Proceedings of the 22nd IEEE/ACM International Conference on Mining Software Repositories, 2025
Proceedings of the IEEE/ACM International Workshop on Large Language Models for Code, 2025
Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2, 2025
Proceedings of the IEEE/ACM Second IDE Workshop, 2025
Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025
The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models.
Proceedings of the IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering, 2025
2024
Correction to: The potential of an adaptive computerized dynamic assessment tutor in diagnosing and assessing learners' listening comprehension.
Educ. Inf. Technol., October, 2024
The potential of an adaptive computerized dynamic assessment tutor in diagnosing and assessing learners' listening comprehension.
Educ. Inf. Technol., February, 2024
Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto.
J. Syst. Softw., 2024
Proceedings of the 1st ACM/IEEE Workshop on Integrated Development Environments, 2024
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
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.
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.
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024
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.
Dataset, August, 2023
Empir. Softw. Eng., March, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Software Analysis, 2023
On the Impact of Language Selection for Training and Evaluating Programming Language Models.
Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 2023
Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023
Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023
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.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023
2022
Empir. Softw. Eng., 2022
LinkFormer: Automatic Contextualised Link Recovery of Software Artifacts in both Project-based and Transfer Learning Settings.
CoRR, 2022
Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 2022
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.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
2021
Topic recommendation for software repositories using multi-label classification algorithms.
Empir. Softw. Eng., 2021
Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021
2020
J. Syst. Softw., 2020
CoRR, 2020
Topic Recommendation for Software Repositories using Multi-label Classification Algorithms.
CoRR, 2020
Proceedings of the 46th Euromicro Conference on Software Engineering and Advanced Applications, 2020
2018
IEEE Access, 2018