| Titian: Data provenance support in Spark M Interlandi, K Shah, SD Tetali, MA Gulzar, S Yoo, M Kim, T Millstein, ... Proceedings of the VLDB Endowment 9 (3), 216-227, 2015 | 146 | 2015 |
| LogLens: A real-time log analysis system B Debnath, M Solaimani, MAG Gulzar, N Arora, C Lumezanu, J Xu, ... 2018 IEEE 38th international conference on distributed computing systems …, 2018 | 112 | 2018 |
| Bigdebug: Debugging primitives for interactive big data processing in spark MA Gulzar, M Interlandi, S Yoo, SD Tetali, T Condie, T Millstein, M Kim Proceedings of the 38th International Conference on Software Engineering …, 2016 | 98 | 2016 |
| Is Neuron Coverage a Meaningful Measure for Testing Deep Neural Networks? F Harel-Canada, L Wang, MA Gulzar, Q Gu, M Kim | 61 | 2020 |
| Bigfuzz: Efficient fuzz testing for data analytics using framework abstraction Q Zhang, J Wang, MA Gulzar, R Padhye, M Kim Proceedings of the 35th IEEE/ACM international conference on automated …, 2020 | 39 | 2020 |
| Adding data provenance support to apache spark M Interlandi, A Ekmekji, K Shah, MA Gulzar, SD Tetali, M Kim, T Millstein, ... The VLDB Journal 27, 595-615, 2018 | 38 | 2018 |
| Automated debugging in data-intensive scalable computing MA Gulzar, M Interlandi, X Han, M Li, T Condie, M Kim Proceedings of the 2017 Symposium on Cloud Computing, 520-534, 2017 | 35 | 2017 |
| Perception and practices of differential testing MA Gulzar, Y Zhu, X Han 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 34 | 2019 |
| White-box testing of big data analytics with complex user-defined functions MA Gulzar, S Mardani, M Musuvathi, M Kim Proceedings of the 2019 27th acm joint meeting on european software …, 2019 | 33 | 2019 |
| Systems and Methods with a Realtime Log Analysis Framework B Debnath, N Arora, H Zhang, G Jiang, M Solaimani, MA Gulzar US Patent App. 15/784,393, 2018 | 33 | 2018 |
| Bigsift: automated debugging of big data analytics in data-intensive scalable computing MA Gulzar, S Wang, M Kim Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 25 | 2018 |
| HeteroRefactor: Refactoring for heterogeneous computing with FPGA J Lau, A Sivaraman, Q Zhang, MA Gulzar, J Cong, M Kim Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 19 | 2020 |
| Optimizing interactive development of data-intensive applications M Interlandi, SD Tetali, MA Gulzar, J Noor, T Condie, M Kim, T Millstein Proceedings of the Seventh ACM Symposium on Cloud Computing, 510-522, 2016 | 18 | 2016 |
| Bigdebug: Interactive debugger for big data analytics in apache spark MA Gulzar, M Interlandi, T Condie, M Kim Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016 | 16 | 2016 |
| Debugging Big Data Analytics in Spark with BigDebug MA Gulzar, M Interlandi, T Condie, M Kim Proceedings of the 2017 ACM international conference on management of data …, 2017 | 14 | 2017 |
| Perfdebug: Performance debugging of computation skew in dataflow systems J Teoh, MA Gulzar, GH Xu, M Kim Proceedings of the ACM Symposium on Cloud Computing, 465-476, 2019 | 12 | 2019 |
| Perception and practices of differential testing. In 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) MA Gulzar, Y Zhu, X Han IEEE 1, 71-80, 2019 | 12 | 2019 |
| Trackersift: Untangling mixed tracking and functional web resources AH Amjad, D Saleem, MA Gulzar, Z Shafiq, F Zaffar Proceedings of the 21st ACM Internet Measurement Conference, 569-576, 2021 | 11 | 2021 |
| Influence-based provenance for dataflow applications with taint propagation J Teoh, MA Gulzar, M Kim Proceedings of the 11th ACM Symposium on Cloud Computing, 372-386, 2020 | 11 | 2020 |
| Interactive debugging for big data analytics MA Gulzar, X Han, M Interlandi, S Mardani, SD Tetali, T Millstein, M Kim 8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 16), 2016 | 10 | 2016 |
Miryung KimFull Professor and Vice Chair of Graduate Studies, UCLA Computer Science在 cs.ucla.edu 的电子邮件经过验证
