| Are mutation scores correlated with real fault detection? a large scale empirical study on the relationship between mutants and real faults M Papadakis, D Shin, S Yoo, DH Bae Proceedings of the 40th international conference on software engineering …, 2018 | 153 | 2018 |
| Efficient online testing for DNN-enabled systems using surrogate-assisted and many-objective optimization FU Haq, D Shin, L Briand Proceedings of the 44th international conference on software engineering …, 2022 | 84 | 2022 |
| Comparing offline and online testing of deep neural networks: An autonomous car case study FU Haq, D Shin, S Nejati, LC Briand 2020 IEEE 13th International Conference on Software Testing, Validation and …, 2020 | 77 | 2020 |
| Guidelines for assessing the accuracy of log message template identification techniques ZA Khan, D Shin, D Bianculli, L Briand Proceedings of the 44th International Conference on Software Engineering …, 2022 | 63 | 2022 |
| Empirical evaluation of mutation‐based test case prioritization techniques D Shin, S Yoo, M Papadakis, DH Bae Software Testing, Verification and Reliability 29 (1-2), e1695, 2019 | 57 | 2019 |
| Automated test case generation for FBD programs implementing reactor protection system software E Jee, D Shin, S Cha, JS Lee, DH Bae Software Testing, Verification and Reliability 24 (8), 608-628, 2014 | 53 | 2014 |
| Can Offline Testing of Deep Neural Networks Replace Their Online Testing? FU Haq, D Shin, S Nejati, L Briand Empirical Software Engineering 26 (5), 1-30, 2021 | 48* | 2021 |
| A theoretical and empirical study of diversity-aware mutation adequacy criterion D Shin, S Yoo, DH Bae IEEE Transactions on Software Engineering 44 (10), 914-931, 2017 | 46 | 2017 |
| Digital twins are not monozygotic–cross-replicating adas testing in two industry-grade automotive simulators M Borg, RB Abdessalem, S Nejati, FX Jegeden, D Shin 2021 14th IEEE Conference on Software Testing, Verification and Validation …, 2021 | 39 | 2021 |
| Formal modeling and verification of a federated byzantine agreement algorithm for blockchain platforms J Yoo, Y Jung, D Shin, M Bae, E Jee 2019 IEEE International Workshop on Blockchain Oriented Software Engineering …, 2019 | 38 | 2019 |
| Many-objective reinforcement learning for online testing of dnn-enabled systems FU Haq, D Shin, LC Briand 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 36 | 2023 |
| A theoretical framework for understanding mutation-based testing methods D Shin, DH Bae 2016 IEEE International Conference on Software Testing, Verification and …, 2016 | 34 | 2016 |
| Empirical evaluation on FBD model-based test coverage criteria using mutation analysis D Shin, E Jee, DH Bae International Conference on Model Driven Engineering Languages and Systems …, 2012 | 32 | 2012 |
| Modeling and verification for different types of system of systems using prism D Seo, D Shin, YM Baek, J Song, W Yun, J Kim, E Jee, DH Bae Proceedings of the 4th International Workshop on Software Engineering for …, 2016 | 26 | 2016 |
| Human resource allocation in software project with practical considerations J Park, D Seo, G Hong, D Shin, J Hwa, DH Bae International Journal of Software Engineering and Knowledge Engineering 25 …, 2015 | 25 | 2015 |
| Log-based slicing for system-level test cases S Messaoudi, D Shin, A Panichella, D Bianculli, LC Briand Proceedings of the 30th ACM SIGSOFT international symposium on software …, 2021 | 24 | 2021 |
| Automatic test suite generation for key-points detection DNNs using many-objective search (experience paper) FU Haq, D Shin, LC Briand, T Stifter, J Wang Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 20 | 2021 |
| Comprehensive analysis of FBD test coverage criteria using mutants D Shin, E Jee, DH Bae Software & Systems Modeling 15 (3), 631-645, 2016 | 20 | 2016 |
| Practical Human Resource Allocation in Software Projects Using Genetic Algorithm J Park, D Seo, G Hong, D Shin, J Hwa, DH Bae | 19 | 2014 |
| Mutation-based consistency testing for evaluating the code understanding capability of llms Z Li, D Shin Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering …, 2024 | 18 | 2024 |
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