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Morteza Zakeri Nasrabadi
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2020 – today
- 2025
- [j15]Saeed Parsa
, Morteza Zakeri Nasrabadi
Testability-driven development: An improvement to the TDD efficiency. Comput. Stand. Interfaces 91: 103877 (2025) - 2024
- [j14]Ali Majidzadeh
Multi-type requirements traceability prediction by code data augmentation and fine-tuning MS-CodeBERT. Comput. Stand. Interfaces 90: 103850 (2024) - [j13]Alireza Ardalani, Saeed Parsa
Supporting single responsibility through automated extract method refactoring. Empir. Softw. Eng. 29(1): 28 (2024) - [j12]Morteza Zakeri Nasrabadi, Saeed Parsa, Sadegh Jafari:
Measuring and improving software testability at the design level. Inf. Softw. Technol. 174: 107511 (2024) - [j11]Morteza Zakeri Nasrabadi, Saeed Parsa
Natural language requirements testability measurement based on requirement smells. Neural Comput. Appl. 36(21): 13051-13085 (2024) - [j10]Roshan Golmohammadi, Saeed Parsa
Dynamic domain testing with multi-agent Markov chain Monte Carlo method. Soft Comput. 28(13-14): 8293-8317 (2024) - [i8]Morteza Zakeri Nasrabadi, Saeed Parsa:
Natural Language Requirements Testability Measurement Based on Requirement Smells. CoRR abs/2403.17479 (2024) - 2023
- [j9]Morteza Zakeri Nasrabadi
A Systematic Literature Review on the Code Smells Datasets and Validation Mechanisms. ACM Comput. Surv. 55(13s): 298:1-298:48 (2023) - [j8]Morteza Zakeri Nasrabadi
A systematic literature review on source code similarity measurement and clone detection: Techniques, applications, and challenges. J. Syst. Softw. 204: 111796 (2023) - [j7]Saeed Parsa
Method name recommendation based on source code metrics. J. Comput. Lang. 74: 101177 (2023) - [i7]Alireza Ardalani, Saeed Parsa, Morteza Zakeri Nasrabadi, Alexander Chatzigeorgiou:
Supporting single responsibility through automated extract method refactoring. CoRR abs/2305.03428 (2023) - [i6]Morteza Zakeri Nasrabadi, Saeed Parsa, Ehsan Esmaili, Fabio Palomba:
A systematic literature review on the code smells datasets and validation mechanisms. CoRR abs/2306.01377 (2023) - [i5]Morteza Zakeri Nasrabadi, Saeed Parsa, Mohammad Ramezani, Chanchal Roy, Masoud Ekhtiarzadeh:
A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges. CoRR abs/2306.16171 (2023) - [i4]Soroush Hashemifar, Saeed Parsa, Morteza Zakeri Nasrabadi:
Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration. CoRR abs/2311.07417 (2023) - 2022
- [j6]Morteza Zakeri Nasrabadi, Saeed Parsa
An ensemble meta-estimator to predict source code testability. Appl. Soft Comput. 129: 109562 (2022) - [j5]Morteza Zakeri Nasrabadi
Learning to predict test effectiveness. Int. J. Intell. Syst. 37(8): 4363-4392 (2022) - [j4]Morteza Zakeri Nasrabadi
Front Cover: International Journal of Intelligent Systems, Volume 37 Issue 8 August 2022. Int. J. Intell. Syst. 37(8): i (2022) - [j3]Mahnoosh Shahidi, Mehrdad Ashtiani
An automated extract method refactoring approach to correct the long method code smell. J. Syst. Softw. 187: 111221 (2022) - [i3]Morteza Zakeri Nasrabadi, Saeed Parsa:
An ensemble meta-estimator to predict source code testability. CoRR abs/2208.09614 (2022) - [i2]Morteza Zakeri Nasrabadi, Saeed Parsa:
Learning to predict test effectiveness. CoRR abs/2208.09623 (2022) - 2021
- [j2]Morteza Zakeri Nasrabadi
A comprehensive survey on non-invasive wearable bladder volume monitoring systems. Medical Biol. Eng. Comput. 59(7): 1373-1402 (2021) - [j1]Morteza Zakeri Nasrabadi
Format-aware learn&fuzz: deep test data generation for efficient fuzzing. Neural Comput. Appl. 33(5): 1497-1513 (2021) - [c1]Morteza Zakeri Nasrabadi
Learning to Predict Software Testability. CSICC 2021: 1-5
2010 – 2019
- 2018
- [i1]Morteza Zakeri Nasrabadi, Saeed Parsa, Akram Kalaee:
Neural Fuzzing: A Neural Approach to Generate Test Data for File Format Fuzzing. CoRR abs/1812.09961 (2018)
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