Mayur Naik
Mayur Naik
Professor of Computer Science, University of Pennsylvania
Verified email at - Homepage
Cited by
Cited by
Clonecloud: Elastic execution between mobile device and cloud
BG Chun, S Ihm, P Maniatis, M Naik, A Patti
Proceedings of the sixth conference on Computer systems, 301-314, 2011
Scalable statistical bug isolation
B Liblit, M Naik, AX Zheng, A Aiken, MI Jordan
Acm Sigplan Notices 40 (6), 15-26, 2005
Dynodroid: An input generation system for Android apps
A Machiry, R Tahiliani, M Naik
Proceedings of the 2013 9th Joint Meeting on Foundations of Software …, 2013
Effective static race detection for Java
M Naik, A Aiken, J Whaley
ACM Sigplan Notices 41 (6), 308-319, 2006
Automated concolic testing of smartphone apps
S Anand, M Naik, MJ Harrold, H Yang
Proceedings of the ACM SIGSOFT 20th International Symposium on the …, 2012
From symptom to cause: Localizing errors in counterexample traces
T Ball, M Naik, SK Rajamani
ACM SIGPLAN Notices 38 (1), 97-105, 2003
A randomized dynamic program analysis technique for detecting real deadlocks
P Joshi, CS Park, K Sen, M Naik
ACM Sigplan Notices 44 (6), 110-120, 2009
COSMOS: Computation offloading as a service for mobile devices
C Shi, K Habak, P Pandurangan, M Ammar, M Naik, E Zegura
Proceedings of the 15th ACM international symposium on Mobile ad hoc …, 2014
Statistical debugging: Simultaneous identification of multiple bugs
AX Zheng, MI Jordan, B Liblit, M Naik, A Aiken
Proceedings of the 23rd international conference on Machine learning, 1105-1112, 2006
Effective static deadlock detection
M Naik, CS Park, K Sen, D Gay
Proceedings of the 31st International Conference on Software Engineering …, 2009
Hoppity: Learning graph transformations to detect and fix bugs in programs
E Dinella, H Dai, Z Li, M Naik, L Song, K Wang
Proceedings of the International Conference on Learning Representations …, 2020
Conditional must not aliasing for static race detection
M Naik, A Aiken
ACM SIGPLAN Notices 42 (1), 327-338, 2007
Predicting execution time of computer programs using sparse polynomial regression
L Huang, J Jia, B Yu, BG Chun, P Maniatis, M Naik
Advances in neural information processing systems, 883-891, 2010
Learning loop invariants for program verification
X Si, H Dai, M Raghothaman, M Naik, L Song
Advances in Neural Information Processing Systems, 7751-7762, 2018
CalFuzzer: An extensible active testing framework for concurrent programs
P Joshi, M Naik, CS Park, K Sen
International Conference on Computer Aided Verification, 675-681, 2009
Effective program debloating via reinforcement learning
K Heo, W Lee, P Pashakhanloo, M Naik
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
Accelerating search-based program synthesis using learned probabilistic models
W Lee, K Heo, R Alur, M Naik
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018
An effective dynamic analysis for detecting generalized deadlocks
P Joshi, M Naik, K Sen, D Gay
Proceedings of the eighteenth ACM SIGSOFT international symposium on …, 2010
Computing in cirrus clouds: The challenge of intermittent connectivity
C Shi, MH Ammar, EW Zegura, M Naik
Proceedings of the first edition of the MCC workshop on Mobile cloud …, 2012
Mantis: Automatic performance prediction for smartphone applications
Y Kwon, S Lee, H Yi, D Kwon, S Yang, BG Chun, L Huang, P Maniatis, ...
Presented as part of the 2013 {USENIX} Annual Technical Conference ({USENIX …, 2013
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