Morteza Zakeri

About Morteza Zakeri

Morteza Zakeri, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Iran University of Science and Technology, specializes in the field of Software Engineering, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-type requirements traceability prediction by code data augmentation and fine-tuning MS-CodeBERT

Estimating “depth of layer”(DOL) in ion-exchanged glasses using explainable machine learning

Deep Identification of Plant Diseases

Supporting single responsibility through automated extract method refactoring

Natural language requirements testability measurement based on requirement smells

Method name recommendation based on source code metrics

Testability-Driven Development: An Improvement to the TDD Efficiency

A systematic literature review on source code similarity measurement and clone detection: Techniques, applications, and challenges

Morteza Zakeri Information

University

Position

Ph.D. Student (IUST)

Citations(all)

99

Citations(since 2020)

99

Cited By

5

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Morteza Zakeri Skills & Research Interests

Software Engineering

Artificial Intelligence

Top articles of Morteza Zakeri

Title

Journal

Author(s)

Publication Date

Multi-type requirements traceability prediction by code data augmentation and fine-tuning MS-CodeBERT

Computer Standards & Interfaces

Ali Majidzadeh

Mehrdad Ashtiani

Morteza Zakeri-Nasrabadi

2024/3/4

Estimating “depth of layer”(DOL) in ion-exchanged glasses using explainable machine learning

Materialia

Omid Banapour Ghaffari

Bijan Eftekhari Yekta

Morteza Zakeri-Nasrabadi

2024/3/1

Deep Identification of Plant Diseases

Soroush Hashemifar

Morteza Zakeri-Nasrabadi

2024/2/21

Supporting single responsibility through automated extract method refactoring

Empirical Software Engineering

Alireza Ardalani

Saeed Parsa

Morteza Zakeri-Nasrabadi

Alexander Chatzigeorgiou

2024/2

Natural language requirements testability measurement based on requirement smells

Neural Computing and Applications

Morteza Zakeri-Nasrabadi

Saeed Parsa

2024/4/24

Method name recommendation based on source code metrics

Journal of Computer Languages

Saeed Parsa

Morteza Zakeri-Nasrabadi

Masoud Ekhtiarzadeh

Mohammad Ramezani

2023/1/1

Testability-Driven Development: An Improvement to the TDD Efficiency

Saeed Parsa

Morteza Zakeri-Nasrabadi

Burak Turhan

2023/8/8

A systematic literature review on source code similarity measurement and clone detection: Techniques, applications, and challenges

Morteza Zakeri-Nasrabadi

Saeed Parsa

Mohammad Ramezani

Chanchal Roy

Masoud Ekhtiarzadeh

2023/7/5

A systematic literature review on the code smells datasets and validation mechanisms

Morteza Zakeri-Nasrabadi

Saeed Parsa

Ehsan Esmaili

Fabio Palomba

2023/6/2

BiliBin: An Intelligent Mobile Phone-based Platform to Monitor Newborn Jaundice

Eisa Zarehpour

Mohammad Reza Mohammadi

Morteza Zakeri-Nasrabadi

Sara Aein

Razieh Sangsari

...

2023/1/10

Automatic test data generation to improve fault-localization based on causal-statistical analysis

Journal of Soft Computing and Information Technology

Morteza Zakeri-Nasrabadi

Saeed Parsa

Zahra Hayati

2023/11/22

Code data augmentation to improve language model’s performance in requirement to code traceability link recovery

Ali Majidzadeh

Mehrdad Ashtiani

Zakeri-Nasrabadi Morteza

2023/1/1

Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration

arXiv preprint arXiv:2311.07417

Soroush Hashemifar

Saeed Parsa

Morteza Zakeri-Nasrabadi

2023/11/13

An ensemble meta-estimator to predict source code testability

Applied Soft Computing

Morteza Zakeri-Nasrabadi

Saeed Parsa

2022/11/1

Learning to predict test effectiveness

International Journal of Intelligent Systems

Morteza Zakeri‐Nasrabadi

Saeed Parsa

2022/8

Front Cover:: International Journal of Intelligent Systems, Volume 37 Issue 8 August 2022

International Journal of Intelligent Systems

Morteza Zakeri‐Nasrabadi

Saeed Parsa

2022/6/28

An automated extract method refactoring approach to correct the long method code smell

Journal of Systems and Software

Mahnoosh Shahidi

Mehrdad Ashtiani

Morteza Zakeri-Nasrabadi

2022/5/1

A comprehensive survey on non-invasive wearable bladder volume monitoring systems

Medical & Biological Engineering & Computing

Morteza Zakeri-Nasrabadi

Hamideh Tabibi

Mahsa Salmani

Mahdieh Torkashvand

Eisa Zarepour

2021/8

Learning to Predict Software Testability

Morteza Zakeri Nasrabadi

Saeed Parsa

2021/3/3

Format-aware learn&fuzz: deep test data generation for efficient fuzzing

Neural Computing and Applications

Morteza Zakeri Nasrabadi

Saeed Parsa

Akram Kalaee

2021/3

See List of Professors in Morteza Zakeri University(Iran University of Science and Technology)

Co-Authors

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