| Producing wrong data without doing anything obviously wrong! T Mytkowicz, A Diwan, M Hauswirth, PF Sweeney ACM Sigplan Notices 44 (3), 265-276, 2009 | 472 | 2009 |
| Low-overhead memory leak detection using adaptive statistical profiling M Hauswirth, TM Chilimbi Proceedings of the 11th international conference on Architectural support …, 2004 | 320 | 2004 |
| Vertical profiling: understanding the behavior of object-priented applications M Hauswirth, PF Sweeney, A Diwan, M Hind Proceedings of the 19th annual ACM SIGPLAN conference on Object-oriented …, 2004 | 177 | 2004 |
| Evaluating the accuracy of Java profilers T Mytkowicz, A Diwan, M Hauswirth, PF Sweeney ACM Sigplan Notices 45 (6), 187-197, 2010 | 162 | 2010 |
| Catch me if you can: performance bug detection in the wild M Jovic, A Adamoli, M Hauswirth Proceedings of the 2011 ACM international conference on Object oriented …, 2011 | 141 | 2011 |
| Algorithmic profiling D Zaparanuks, M Hauswirth Proceedings of the 33rd ACM SIGPLAN conference on Programming Language …, 2012 | 136 | 2012 |
| Accuracy of performance counter measurements D Zaparanuks, M Jovic, M Hauswirth 2009 IEEE International Symposium on Performance Analysis of Systems and …, 2009 | 136 | 2009 |
| Using Hardware Performance Monitors to Understand the Behavior of Java Applications. PF Sweeney, M Hauswirth, B Cahoon, P Cheng, A Diwan, D Grove, ... Virtual Machine Research and Technology Symposium, 57-72, 2004 | 126 | 2004 |
| Use at your own risk: The java unsafe api in the wild L Mastrangelo, L Ponzanelli, A Mocci, M Lanza, M Hauswirth, N Nystrom ACM Sigplan Notices 50 (10), 695-710, 2015 | 95 | 2015 |
| Automating vertical profiling M Hauswirth, A Diwan, PF Sweeney, MC Mozer Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented …, 2005 | 87 | 2005 |
| Notional machines in computing education: The education of attention S Fincher, J Jeuring, CS Miller, P Donaldson, B Du Boulay, M Hauswirth, ... Proceedings of the working group reports on innovation and technology in …, 2020 | 76 | 2020 |
| Automated GUI performance testing A Adamoli, D Zaparanuks, M Jovic, M Hauswirth Software Quality Journal 19 (4), 801-839, 2011 | 68 | 2011 |
| Statistical memory leak detection TA Chilimbi, MM Hauswirth US Patent 7,577,943, 2009 | 67 | 2009 |
| Adaptive instrumentation runtime monitoring and analysis T Chilimbi, M Hauswirth US Patent 7,587,709, 2009 | 65 | 2009 |
| Trevis: A context tree visualization & analysis framework and its use for classifying performance failure reports A Adamoli, M Hauswirth Proceedings of the 5th international symposium on Software visualization, 73-82, 2010 | 63 | 2010 |
| Perphecy: Performance regression test selection made simple but effective AB De Oliveira, S Fischmeister, A Diwan, M Hauswirth, PF Sweeney 2017 IEEE International Conference on Software Testing, Verification and …, 2017 | 58 | 2017 |
| Why you should care about quantile regression AB De Oliveira, S Fischmeister, A Diwan, M Hauswirth, PF Sweeney ACM SIGARCH Computer Architecture News 41 (1), 207-218, 2013 | 50 | 2013 |
| Teaching Java programming with the Informa clicker system M Hauswirth, A Adamoli Science of Computer Programming 78 (5), 499-520, 2013 | 46 | 2013 |
| The truth, the whole truth, and nothing but the truth: A pragmatic guide to assessing empirical evaluations SM Blackburn, A Diwan, M Hauswirth, PF Sweeney, JN Amaral, T Brecht, ... ACM Transactions on Programming Languages and Systems (TOPLAS) 38 (4), 1-20, 2016 | 43 | 2016 |
| Differential benefits of explicit failure-driven and success-driven scaffolding in problem-solving prior to instruction. T Sinha, M Kapur, R West, M Catasta, M Hauswirth, D Trninic Journal of Educational Psychology 113 (3), 530, 2021 | 42 | 2021 |
Amer DiwanGoogleVerified email at google.com
