Maliheh Izadi

Orcid: 0000-0001-5093-5523

According to our database1, Maliheh Izadi authored at least 28 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The potential of an adaptive computerized dynamic assessment tutor in diagnosing and assessing learners' listening comprehension.
Educ. Inf. Technol., February, 2024

An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets.
CoRR, 2024

Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: a Haskell Case Study.
CoRR, 2024

Language Models for Code Completion: A Practical Evaluation.
CoRR, 2024

In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review.
CoRR, 2024

2023
Semantically-enhanced topic recommendation systems for software projects.
Empir. Softw. Eng., March, 2023

Traces of Memorisation in Large Language Models for Code.
CoRR, 2023

Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge.
CoRR, 2023

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries.
CoRR, 2023

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie.
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

The NLBSE'23 Tool Competition.
Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

STACC: Code Comment Classification using SentenceTransformers.
Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

The (ab)use of Open Source Code to Train Large Language Models.
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
Predicting the objective and priority of issue reports in software repositories.
Empir. Softw. Eng., 2022

LinkFormer: Automatic Contextualised Link Recovery of Software Artifacts in both Project-based and Transfer Learning Settings.
CoRR, 2022

Semantically-enhanced Topic Recommendation System for Software Projects.
CoRR, 2022

On the Evaluation of NLP-based Models for Software Engineering.
Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 2022

CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers.
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
Generating summaries for methods of event-driven programs: An Android case study.
J. Syst. Softw., 2020

Predicting the Objective and Priority of Issue Reports in a Cross project Context.
CoRR, 2020

Topic Recommendation for Software Repositories using Multi-label Classification Algorithms.
CoRR, 2020

Improving Quality of a Post's Set of Answers in Stack Overflow.
Proceedings of the 46th Euromicro Conference on Software Engineering and Advanced Applications, 2020

2018
Evaluating Collaborative Filtering Recommender Algorithms: A Survey.
IEEE Access, 2018


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