Neural Fuzzing: A Neural Approach to Generate Test Data for File Format Fuzzing. - Morteza Zakeri Nasrabadi; Saeed Parsa; Akram Kalaee (CoRR, 2018)

Learning to Predict Software Testability. - Morteza Zakeri Nasrabadi; Saeed Parsa (CSICC, 2021)

A comprehensive survey on non-invasive wearable bladder volume monitoring systems. - Morteza Zakeri Nasrabadi; Hamideh Tabibi; Mahsa Salmani; Mahdieh Torkashvand; Eisa Zarepour (Medical Biol. Eng. Comput., 2021)

Format-aware learn&fuzz: deep test data generation for efficient fuzzing. - Morteza Zakeri Nasrabadi; Saeed Parsa; Akram Kalaee (Neural Comput. Appl., 2021)

An ensemble meta-estimator to predict source code testability. - Morteza Zakeri Nasrabadi; Saeed Parsa (Appl. Soft Comput., 2022)

Front Cover: International Journal of Intelligent Systems, Volume 37 Issue 8 August 2022. - Morteza Zakeri Nasrabadi; Saeed Parsa (Int. J. Intell. Syst., 2022)

Learning to predict test effectiveness. - Morteza Zakeri Nasrabadi; Saeed Parsa (Int. J. Intell. Syst., 2022)

An automated extract method refactoring approach to correct the long method code smell. - Mahnoosh Shahidi; Mehrdad Ashtiani; Morteza Zakeri Nasrabadi (J. Syst. Softw., 2022)

Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration. - Soroush Hashemifar; Saeed Parsa; Morteza Zakeri Nasrabadi (CoRR, 2023)

A Systematic Literature Review on the Code Smells Datasets and Validation Mechanisms. - Morteza Zakeri Nasrabadi; Saeed Parsa; Ehsan Esmaili; Fabio Palomba (ACM Comput. Surv., 2023)

Method name recommendation based on source code metrics. - Saeed Parsa; Morteza Zakeri Nasrabadi; Masoud Ekhtiarzadeh; Mohammad Ramezani (J. Comput. Lang., 2023)

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 (J. Syst. Softw., 2023)

Multi-type requirements traceability prediction by code data augmentation and fine-tuning MS-CodeBERT. - Ali Majidzadeh; Mehrdad Ashtiani; Morteza Zakeri Nasrabadi (Comput. Stand. Interfaces, 2024)

Measuring and improving software testability at the design level. - Morteza Zakeri Nasrabadi; Saeed Parsa; Sadegh Jafari (Inf. Softw. Technol., 2024)

Supporting single responsibility through automated extract method refactoring. - Alireza Ardalani; Saeed Parsa; Morteza Zakeri Nasrabadi; Alexander Chatzigeorgiou (Empir. Softw. Eng., 2024)

Natural language requirements testability measurement based on requirement smells. - Morteza Zakeri Nasrabadi; Saeed Parsa (Neural Comput. Appl., 2024)

Dynamic domain testing with multi-agent Markov chain Monte Carlo method. - Roshan Golmohammadi; Saeed Parsa; Morteza Zakeri Nasrabadi (Soft Comput., 2024)

Testability-driven development: An improvement to the TDD efficiency. - Saeed Parsa; Morteza Zakeri Nasrabadi; Burak Turhan (Comput. Stand. Interfaces, 2025)

A systematic literature review on transformation for testability techniques in software systems. - Fateme Bagheri-Galle; Saeed Parsa; Morteza Zakeri Nasrabadi (Inf. Softw. Technol., 2025)