| An automated extract method refactoring approach to correct the long method code smell M Shahidi, M Ashtiani, M Zakeri-Nasrabadi Journal of Systems and Software 187, 111221, 2022 | 19 | 2022 |
| Format-aware learn&fuzz: deep test data generation for efficient fuzzing M Zakeri-Nasrabadi, S Parsa, A Kalaee Neural Computing and Applications 33 (5), 1497-1513, 2021 | 19* | 2021 |
| A comprehensive survey on non-invasive wearable bladder volume monitoring systems M Zakeri-Nasrabadi, H Tabibi, M Salmani, M Torkashvand, E Zarepour Medical & Biological Engineering & Computing 59 (7), 1373-1402, 2021 | 17 | 2021 |
| Learning to predict test effectiveness M Zakeri‐Nasrabadi, S Parsa International Journal of Intelligent Systems 37 (8), 4363-4392, 2022 | 15 | 2022 |
| Learning to Predict Software Testability M Zakeri-Nasrabadi, S Parsa 2021 26th International Computer Conference, Computer Society of Iran (CSICC …, 2021 | 11 | 2021 |
| A systematic literature review on source code similarity measurement and clone detection: Techniques, applications, and challenges M Zakeri-Nasrabadi, S Parsa, M Ramezani, C Roy, M Ekhtiarzadeh Journal of Systems and Software, 111796, 2023 | 10 | 2023 |
| An ensemble meta-estimator to predict source code testability M Zakeri-Nasrabadi, S Parsa Applied Soft Computing 129, 109562, 2022 | 10 | 2022 |
| A systematic literature review on the code smells datasets and validation mechanisms M Zakeri-Nasrabadi, S Parsa, E Esmaili, F Palomba ACM Computing Surveys, 2023 | 9 | 2023 |
| Method name recommendation based on source code metrics S Parsa, M Zakeri-Nasrabadi, M Ekhtiarzadeh, M Ramezani Journal of Computer Languages 74, 101177, 2023 | 7 | 2023 |
| Automatic test data generation in file format fuzzers M Zakeri-Nasrabadi, S Parsa JOURNAL OF ELECTRONIC AND CYBER DEFENCE 8 (1), 1-15, 2020 | 3 | 2020 |
| BiliBin: An Intelligent Mobile Phone-based Platform to Monitor Newborn Jaundice E Zarehpour, MR Mohammadi, M Zakeri-Nasrabadi, S Aein, R Sangsari, ... | 2 | 2023 |
| Testability-Driven Development: An Improvement to the TDD Efficiency S Parsa, M Zakeri-Nasrabadi, B Turhan | 1 | 2023 |
| Natural Language Requirements Testability Measurement Based on Requirement Smells M Zakeri-Nasrabadi, S Parsa arXiv preprint arXiv:2403.17479, 2024 | | 2024 |
| Multi-type requirements traceability prediction by code data augmentation and fine-tuning MS-CodeBERT A Majidzadeh, M Ashtiani, M Zakeri-Nasrabadi Computer Standards & Interfaces, 103850, 2024 | | 2024 |
| Estimating “depth of layer”(DOL) in ion-exchanged glasses using explainable machine learning OB Ghaffari, BE Yekta, M Zakeri-Nasrabadi Materialia 33, 102027, 2024 | | 2024 |
| Deep Identification of Plant Diseases S Hashemifar, M Zakeri-Nasrabadi 2024 20th CSI International Symposium on Artificial Intelligence and Signal …, 2024 | | 2024 |
| Supporting single responsibility through automated extract method refactoring A Ardalani, S Parsa, M Zakeri-Nasrabadi, A Chatzigeorgiou Empirical Software Engineering 29 (1), 28, 2024 | | 2024 |
| Automatic test data generation to improve fault-localization based on causal-statistical analysis M Zakeri-Nasrabadi, S Parsa, Z Hayati Journal of Soft Computing and Information Technology 12 (3), 74-84, 2023 | | 2023 |
| Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration S Hashemifar, S Parsa, M Zakeri-Nasrabadi arXiv preprint arXiv:2311.07417, 2023 | | 2023 |
| Code data augmentation to improve language model’s performance in requirement to code traceability link recovery A Majidzadeh, M Ashtiani, ZN Morteza Proceedings of the 9th International Conference on Web Research, 2023 | | 2023 |
Saeed ParsaProfessor of computer science, Iran University of Science and TechnologyVerified email at iust.ac.ir
