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Publications

Work from the laboratory appears in international journals and conferences. The list below is built from Crossref metadata; laboratory members are shown in bold.

Full list and citation metrics on Google Scholar

Journal articles

2025

  • Testability-driven development: An improvement to the TDD efficiencySaeed Parsa, Morteza Zakeri-Nasrabadi, Burak Turhan — Computer Standards & Interfacesdoi:10.1016/j.csi.2024.103877

2024

  • Designing high-performance ion-exchangeable glasses with multi-objective optimization and machine learningOmid Banapour Ghaffari, Bijan Eftekhari Yekta, Morteza Zakeri-Nasrabadi — Ceramics Internationaldoi:10.1016/j.ceramint.2024.08.141

  • Measuring and improving software testability at the design levelMorteza Zakeri-Nasrabadi, Saeed Parsa, Sadegh Jafari — Information and Software Technologydoi:10.1016/j.infsof.2024.107511

  • Multi-type requirements traceability prediction by code data augmentation and fine-tuning MS-CodeBERTAli Majidzadeh, Mehrdad Ashtiani, Morteza Zakeri-Nasrabadi — Computer Standards & Interfacesdoi:10.1016/j.csi.2024.103850

  • Assessing Neural Markers of Attention During Exposure to Construction Noise Using Machine Learning Classification of Electroencephalogram DataMostafa Mir, Farnad Nasirzadeh, Morteza Zakeri-Nasrabadi, Aron T. Hill, Chandan Karmakar — Elsevier BVdoi:10.2139/ssrn.4698727

  • Dynamic domain testing with multi-agent Markov chain Monte Carlo methodRoshan Golmohammadi, Saeed Parsa, Morteza Zakeri-Nasrabadi — Soft Computingdoi:10.1007/s00500-024-09680-5

  • Natural language requirements testability measurement based on requirement smellsMorteza Zakeri-Nasrabadi, Saeed Parsa — Neural Computing and Applicationsdoi:10.1007/s00521-024-09730-x

2023

  • Estimating 'Depth of Layer' (DOL) in Ion-Exchanged Glasses Using Explainable Machine LearningOmid Banapour Ghaffari, Bijan Eftekhari Yekta, Morteza Zakeri-Nasrabadi — Elsevier BVdoi:10.2139/ssrn.4597581

  • Supporting single responsibility through automated extract method refactoringAlireza Ardalani, Saeed Parsa, Morteza Zakeri-Nasrabadi, Alexander Chatzigeorgiou — Empirical Software Engineeringdoi:10.1007/s10664-023-10427-3

  • A systematic literature review on source code similarity measurement and clone detection: Techniques, applications, and challengesMorteza Zakeri-Nasrabadi, Saeed Parsa, Mohammad Ramezani, Chanchal Roy, Masoud Ekhtiarzadeh — Journal of Systems and Softwaredoi:10.1016/j.jss.2023.111796

  • A Systematic Literature Review on the Code Smells Datasets and Validation MechanismsMorteza Zakeri-Nasrabadi, Saeed Parsa, Ehsan Esmaili, Fabio Palomba — ACM Computing Surveysdoi:10.1145/3596908

  • Method name recommendation based on source code metricsSaeed Parsa, Morteza Zakeri-Nasrabadi, Masoud Ekhtiarzadeh, Mohammad Ramezani — Journal of Computer Languagesdoi:10.1016/j.cola.2022.101177

2022

  • An ensemble meta-estimator to predict source code testabilityMorteza Zakeri-Nasrabadi, Saeed Parsa — Applied Soft Computingdoi:10.1016/j.asoc.2022.109562

  • An automated extract method refactoring approach to correct the long method code smellMahnoosh Shahidi, Mehrdad Ashtiani, Morteza Zakeri-Nasrabadi — Journal of Systems and Softwaredoi:10.1016/j.jss.2022.111221

2021

  • Learning to predict test effectivenessMorteza Zakeri‐Nasrabadi, Saeed Parsa — International Journal of Intelligent Systemsdoi:10.1002/int.22722

  • A comprehensive survey on non-invasive wearable bladder volume monitoring systemsMorteza Zakeri Nasrabadi, Hamideh Tabibi, Mahsa Salmani, Mahdieh Torkashvand, Eisa Zarepour — Medical & Biological Engineering & Computingdoi:10.1007/s11517-021-02395-x

2020

  • Format-aware learn&fuzz: deep test data generation for efficient fuzzingMorteza Zakeri Nasrabadi, Saeed Parsa, Akram Kalaee — Neural Computing and Applicationsdoi:10.1007/s00521-020-05039-7

Conference papers

2021

  • Learning to Predict Software TestabilityMorteza Zakeri Nasrabadi, Saeed Parsa — 2021 26th International Computer Conference, Computer Society of Iran (CSICC)doi:10.1109/CSICC52343.2021.9420548

A few national-journal and conference entries are maintained only on the Persian site. See Google Scholar for the complete list.