Critical path analysis of TCP transactions
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Inside Microsoft .NET IL Assembler
Inside Microsoft .NET IL Assembler
Performance debugging for distributed systems of black boxes
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Path-based faliure and evolution management
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
Using magpie for request extraction and workload modelling
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Detours: binary interception of Win32 functions
WINSYM'99 Proceedings of the 3rd conference on USENIX Windows NT Symposium - Volume 3
Debugging in the (very) large: ten years of implementation and experience
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
Diagnosing mobile applications in the wild
Hotnets-IX Proceedings of the 9th ACM SIGCOMM Workshop on Hot Topics in Networks
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
X-trace: a pervasive network tracing framework
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
Profiling resource usage for mobile applications: a cross-layer approach
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Catch me if you can: performance bug detection in the wild
Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications
Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof
Proceedings of the 7th ACM european conference on Computer Systems
SmartAds: bringing contextual ads to mobile apps
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
SIF: a selective instrumentation framework for mobile applications
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Speeding up distributed request-response workflows
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
Mobile applications need targeted micro-updates
Proceedings of the 4th Asia-Pacific Workshop on Systems
Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles
ACM SIGOPS 24th Symposium on Operating Systems Principles
Timecard: controlling user-perceived delays in server-based mobile applications
Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles
Capturing mobile experience in the wild: a tale of two apps
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
Panappticon: event-based tracing to measure mobile application and platform performance
Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
Reducing energy consumption of smartphones using user-perceived response time analysis
Proceedings of the 15th Workshop on Mobile Computing Systems and Applications
DECAF: detecting and characterizing ad fraud in mobile apps
NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation
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The mobile-app marketplace is highly competitive. To maintain and improve the quality of their apps, developers need data about how their app is performing in the wild. The asynchronous, multithreaded nature of mobile apps makes tracing difficult. The difficulties are compounded by the resource limitations inherent in the mobile platform. To address this challenge, we develop AppInsight, a system that instruments mobile-app binaries to automatically identify the critical path in user transactions, across asynchronous-call boundaries. AppInsight is lightweight, it does not require any input from the developer, and it does not require any changes to the OS. We used AppInsight to instrument 30 marketplace apps, and carried out a field trial with 30 users for over 4 months. We report on the characteristics of the critical paths that AppInsight found in this data. We also give real-world examples of how AppInsight helped developers improve the quality of their app.