Dynamic detection of event handlers

Authors:
Steven P. Reiss
Affiliations:
Brown University, Providence, RI
Venue:
WODA '08 Proceedings of the 2008 international workshop on dynamic analysis: held in conjunction with the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2008)
Year:
2008

Citing 11
Cited 1

Non-intrusive and interactive profiling in parasight

PPEALS '88 Proceedings of the ACM/SIGPLAN conference on Parallel programming: experience with applications, languages and systems
The flight recorder: an architectural aid for system monitoring

PADD '91 Proceedings of the 1991 ACM/ONR workshop on Parallel and distributed debugging
Performance measurements for multithreaded programs

SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
ICSE workshop on software visualization

ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Connecting Tools Using Message Passing in the Field Environment

IEEE Software
Gprof: A call graph execution profiler

SIGPLAN '82 Proceedings of the 1982 SIGPLAN symposium on Compiler construction
Event-Based Performance Analysis

IWPC '03 Proceedings of the 11th IEEE International Workshop on Program Comprehension
ThreadMon: A Tool for Monitoring Multithreaded Program Performance

HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Software Technology and Architecture - Volume 1
Visualizing program execution using user abstractions

SoftVis '06 Proceedings of the 2006 ACM symposium on Software visualization
Controlled dynamic performance analysis

WOSP '08 Proceedings of the 7th international workshop on Software and performance
X-trace: a pervasive network tracing framework

NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation

Visualizing threads, transactions and tasks

Proceedings of the 9th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper considers the problem of dynamically finding event handlers in a running application using information obtained from periodic stack samples. Knowing the set of event handlers in an application is a prerequisite to building a model of the event behavior of the application which is in turn needed to do performance analysis, program visualization, or program understanding in terms of events. We show that a trie-based statistical technique can effectively and accurately find event handlers.