| Operational-Log Analysis for Big Data Systems: Challenges and Solutions A Miranskyy, A Hamou-Lhadj, E Cialini, A Larsson IEEE Software 33 (2), 52-59, 2016 | 103 | 2016 |
| Logchain: Blockchain-assisted Log Storage W Pourmajidi, A Miranskyy 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 978-982, 2018 | 92 | 2018 |
| Quantum Software Engineering: Roadmap and Challenges Ahead JM Murillo, J Garcia-Alonso, E Moguel, J Barzen, F Leymann, S Ali, T Yue, ... ACM Transactions on Software Engineering and Methodology, 2025 | 90* | 2025 |
| On testing quantum programs A Miranskyy, L Zhang 2019 IEEE/ACM 41st International Conference on Software Engineering: New …, 2019 | 89* | 2019 |
| Big picture of big data software engineering: with example research challenges NH Madhavji, A Miranskyy, K Kontogiannis 2015 IEEE/ACM 1st International Workshop on Big Data Software Engineering, 11-14, 2015 | 81 | 2015 |
| Anomaly detection in a large-scale cloud platform MS Islam, W Pourmajidi, L Zhang, J Steinbacher, T Erwin, A Miranskyy 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 71* | 2021 |
| On the use of hidden markov model to predict the time to fix bugs M Habayeb, SS Murtaza, A Miranskyy, AB Bener IEEE Transactions on Software Engineering 44 (12), 1224-1244, 2017 | 71 | 2017 |
| Is your quantum program bug-free? A Miranskyy, L Zhang, J Doliskani IEEE/ACM 42nd International Conference on Software Engineering: New Ideas …, 2020 | 60 | 2020 |
| On Challenges of Cloud Monitoring W Pourmajidi, J Steinbacher, T Erwin, A Miranskyy Proceedings of the 27th Annual International Conference on Computer Science …, 2017 | 48 | 2017 |
| On Testing and Debugging Quantum Software A Miranskyy, L Zhang, J Doliskani arXiv preprint arXiv:2103.09172, 2021 | 44 | 2021 |
| Merits of Organizational Metrics in Defect Prediction: An Industrial Replication B Caglayan, B Turhan, A Bener, M Habayeb, A Miransky, E Cialini Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International …, 2015 | 40 | 2015 |
| Using entropy measures for comparison of software traces AV Miranskyy, M Davison, RM Reesor, SS Murtaza Information Sciences 203, 59-72, 2012 | 38 | 2012 |
| On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners S Polisetty, A Miranskyy, A Başar Proceedings of the Fifteenth International Conference on Predictive Models …, 2019 | 35 | 2019 |
| On automatic detection of performance bugs S Tsakiltsidis, A Miranskyy, E Mazzawi 2016 IEEE international symposium on software reliability engineering …, 2016 | 34* | 2016 |
| Usage of multiple prediction models based on defect categories B Caglayan, A Tosun, A Miranskyy, A Bener, N Ruffolo Proceedings of the 6th International Conference on Predictive Models in …, 2010 | 29 | 2010 |
| Green software AB Bener, M Morisio, A Miranskyy Ieee Software 31 (3), 36-39, 2014 | 28 | 2014 |
| Predicting defective modules in different test phases B Caglayan, AT Misirli, AB Bener, A Miranskyy Software Quality Journal, 1-23, 2014 | 28 | 2014 |
| Architecture for Analysis of Streaming Data S Hoque, A Miranskyy 2018 IEEE International Conference on Cloud Engineering (IC2E), 263-269, 2018 | 27 | 2018 |
| Making existing software quantum safe: A case study on IBM Db2 L Zhang, A Miranskyy, W Rjaibi, G Stager, M Gray, J Peck Information and Software Technology 161, 107249, 2023 | 26* | 2023 |
| Characteristics of multiple-component defects and architectural hotspots: a large system case study Z Li, NH Madhavji, SS Murtaza, M Gittens, AV Miranskyy, D Godwin, ... Empirical Software Engineering 16 (5), 667-702, 2011 | 26 | 2011 |
