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Majid Babaei
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- Ph.D. in 听with a focus on Software Engineering听from , Canada
- M.Sc. in from , Germaney
- B.Eng. in from , Iran
Dr. Majid Babaei holds a Ph.D. in Computing with a focus on Software Engineering under the supervision of Prof. 听from the School of Computing at Queen's University. Dr. Babaei's research interests lie in the development of techniques for model-level debugging and testing of software systems. He is a member of听the Professional Development Committee at the (CAUCE), as well as he serves on the Strategic Planning Committee of the School of Continuing Studies at 海角社区.听
Dr. Babaei actively fosters partnerships between academia and industry, ensuring that educational programs remain aligned with the evolving needs of the professional landscape. His on "Regression Testing of Distributed Real-Time Embedded Systems in the Context of Model-Driven Development" provides a comprehensive overview of the primary challenges for performing regression testing in large-scale distributed systems. It also offers promising solutions for these challenges that can be adopted by tech. industries to improve the performance of their testing strategies.听
The comprehensive can be accessed.
- Software Engineering
- Model-Driven Engineering
- DevOps Engineering
- P. Chakraborty, M. Babaei, L. Tahmooresnejad, and N. Ezzati-Jivan, 鈥淢emAdapt: Adaptive Memory Usage Monitoring Using Irregularly Sampled Data鈥�, appear to Proceedings of 34th Annual International Conference on Computer Science and Software Engineering, 2024.
- M. Babaei. 2024. Communication Semantics for IoT-aware Business Process Management Systems. In Proceedings of the ACM/IEEE 6th International Workshop on Software Engineering Research & Practices for the Internet of Things (SERP4IoT '24). Association for Computing Machinery, New York, NY, USA, 30鈥�37, 2024 doi:听
- M. Babaei, J.听Dingel,听"Efficient regression testing of distributed real-time reactive systems in the context of model-driven development".听Softw Syst Model听22, 1565鈥�1587 , 2023, doi:听听
- M. Babaei and M. Ben-Attia, "ra4xstate: An Efficient Quantitative Robustness Analysis Approach for Statecharts",听2023 IEEE/ACM 5th International Workshop on Software Engineering Research and Practices for the IoT (SERP4IoT), Melbourne, Australia, 2023, pp. 46-53, doi:
- M. Babaei and J. Dingel, "Efficient Replay-based Regression Testing for Distributed Reactive Systems in the Context of Model-driven Development", 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS), Fukuoka, Japan, 2021, pp. 89-100, doi:
- M. Babaei and J. Dingel, "MRegTest: A Replay-Based Regression Testing Tool for Distributed UML-RT Models", 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Fukuoka, Japan, 2021, pp. 620-624, doi:
- 听M. Babaei, M. Bagherzadeh, and J. Dingel, "Efficient reordering and replay of execution traces of distributed reactive systems in the context of model-driven development". In Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS '20). Association for Computing Machinery, New York, NY, USA, 285鈥�296. doi:
- M. Babaei, M.听Bagherzadeh, and J.听Dingel, "MReplayer: a trace replayer of distributed UML-RT models". In Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (MODELS '20). Association for Computing Machinery, New York, NY, USA, Article 6, 1鈥�5. doi:
- M. Babaei, K. Jahed and J. Dingel, "Solving the RoboSoccer Challenge Problem with UML-RT and Papyrus-RT," 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Munich, Germany, 2019, pp. 221-227, doi: