Bug isolation via remote program sampling
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Managing battery lifetime with energy-aware adaptation
ACM Transactions on Computer Systems (TOCS)
Managing battery lifetime with energy-aware adaptation
ACM Transactions on Computer Systems (TOCS)
Performance profiling with EndoScope, an acquisitional software monitoring framework
Proceedings of the VLDB Endowment
Ksplice: automatic rebootless kernel updates
Proceedings of the 4th ACM European conference on Computer systems
Safe and timely updates to multi-threaded programs
Proceedings of the 2009 ACM SIGPLAN conference on Programming language design and implementation
VTrack: accurate, energy-aware road traffic delay estimation using mobile phones
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
Code in the air: simplifying sensing and coordination tasks on smartphones
Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications
Modular software upgrades for distributed systems
ECOOP'06 Proceedings of the 20th European conference on Object-Oriented Programming
COMET: code offload by migrating execution transparently
OSDI'12 Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation
AppInsight: mobile app performance monitoring in the wild
OSDI'12 Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation
Safe and automatic live update for operating systems
Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems
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Smart-phone applications ("apps") run across a wide range of environmental conditions, locations, and hardware platforms. They are often subject to an array of interactions that are hard or impossible for developers to emulate or even anticipate during testing. Once an application is released, feedback obtained from users and from analytics over usage and performance data result in further modifications. Many of these changes are relatively small, and can often be parameterized.