| Survey and classification of model transformation tools N Kahani, M Bagherzadeh, JR Cordy, J Dingel, D Varró Software & Systems Modeling 18, 2361-2397, 2019 | 167 | 2019 |
| Test case selection and prioritization using machine learning: a systematic literature review R Pan, M Bagherzadeh, TA Ghaleb, L Briand Empirical Software Engineering 27 (2), 29, 2022 | 99 | 2022 |
| Reinforcement Learning for Test Case Prioritization M Bagherzadeh, N Kahani, L Briand IEEE Transactions on Software Engineering (TSE), 1-18, 2020 | 76 | 2020 |
| The problems with eclipse modeling tools: a topic analysis of eclipse forums N Kahani, M Bagherzadeh, J Dingel, JR Cordy Proceedings of the ACM/IEEE 19th International Conference on Model Driven …, 2016 | 48 | 2016 |
| A hitchhiker's guide to model-driven engineering for data-centric systems B Combemale, J Kienzle, G Mussbacher, H Ali, D Amyot, M Bagherzadeh, ... IEEE Software 38 (4), 71-84, 2020 | 43 | 2020 |
| Analyzing a decade of linux system calls M Bagherzadeh, N Kahani, CP Bezemer, AE Hassan, J Dingel, JR Cordy Empirical Software Engineering 23 (3), 1519-1551, 2018 | 42 | 2018 |
| Model-Level, Platform-Independent Debugging in the Context of the Model-Driven Development of Real-Time Systems M Bagherzadeh, N Hili, J Dingel Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017 | 40 | 2017 |
| Scalable and accurate test case prioritization in continuous integration contexts AS Yaraghi, M Bagherzadeh, N Kahani, LC Briand IEEE Transactions on Software Engineering 49 (4), 1615-1639, 2022 | 34 | 2022 |
| Supporting the model-driven development of real-time embedded systems with run-time monitoring and animation via highly customizable code generation N Das, S Ganesan, L Jweda, M Bagherzadeh, N Hili, J Dingel Proceedings of the ACM/IEEE 19th International Conference on Model Driven …, 2016 | 29 | 2016 |
| Black-Box Testing of Deep Neural Networks through Test Case Diversity Z Aghababaeyan, M Abdellatif, L Briand, S Ramesh, M Bagherzadeh arXiv preprint arXiv:2112.12591, 2021 | 28 | 2021 |
| Supporting deep neural network safety analysis and retraining through heatmap-based unsupervised learning H Fahmy, F Pastore, M Bagherzadeh, L Briand IEEE Transactions on Reliability 70 (4), 1641-1657, 2021 | 28 | 2021 |
| A model-based architecture for interactive run-time monitoring N Hili, M Bagherzadeh, K Jahed, J Dingel Software and Systems Modeling, 1-23, 2020 | 23 | 2020 |
| A search-based testing approach for deep reinforcement learning agents A Zolfagharian, M Abdellatif, LC Briand, M Bagherzadeh, S Ramesh IEEE Transactions on Software Engineering 49 (7), 3715-3735, 2023 | 18 | 2023 |
| Live modeling in the context of state machine models and code generation M Bagherzadeh, K Jahed, B Combemale, J Dingel Software and Systems Modeling 20, 795-819, 2021 | 18* | 2021 |
| MDebugger: a model-level debugger for UML-RT M Bagherzadeh, N Hili, D Seekatz, J Dingel 2018 IEEE/ACM 40th International Conference on Software Engineering …, 2018 | 16* | 2018 |
| Simgen: A tool for generating simulations and visualizations of embedded systems on the unity game engine M Pasternak, N Kahani, M Bagherzadeh, J Dingel, JR Cordy Proceedings of the 21st ACM/IEEE International Conference on Model Driven …, 2018 | 13 | 2018 |
| Efficient reordering and replay of execution traces of distributed reactive systems in the context of model-driven development M Babaei, M Bagherzadeh, J Dingel Proceedings of the 23rd ACM/IEEE International Conference on Model Driven …, 2020 | 10 | 2020 |
| Execution of partial state machine models M Bagherzadeh, N Kahani, K Jahed, J Dingel IEEE Transactions on Software Engineering 48 (3), 951-972, 2020 | 10* | 2020 |
| Model-level debugging in the context of the model-driven development M Bagherzadeh Queen's University (Canada), 2019 | 8 | 2019 |
| On the benefits of file-level modularity for EMF models K Jahed, M Bagherzadeh, J Dingel Software and Systems Modeling 20 (1), 267-286, 2021 | 6 | 2021 |
Juergen DingelSchool of Computing, Queen's University, Canada在 cs.queensu.ca 的电子邮件经过验证
