A survey of trace exploration tools and techniques
CASCON '04 Proceedings of the 2004 conference of the Centre for Advanced Studies on Collaborative research
Using trace sampling techniques to identify dynamic clusters of classes
CASCON '07 Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
Execution trace analysis through massive sequence and circular bundle views
Journal of Systems and Software
Automatic identification of key classes in a software system using webmining techniques
Journal of Software Maintenance and Evolution: Research and Practice
Proceedings of the 2nd India software engineering conference
Automatic generation of abstract views for legacy software comprehension
Proceedings of the 3rd India software engineering conference
A software behaviour analysis framework based on the human perception systems (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
A metamodel for the compact but lossless exchange of execution traces
Software and Systems Modeling (SoSyM)
A generic solution for agile run-time inspection middleware
Middleware'11 Proceedings of the 12th ACM/IFIP/USENIX international conference on Middleware
A generic solution for agile run-time inspection middleware
Proceedings of the 12th International Middleware Conference
A stateful approach to generate synthetic events from Kernel traces
Advances in Software Engineering
Understanding Ajax applications by connecting client and server-side execution traces
Empirical Software Engineering
Stratified sampling of execution traces: Execution phases serving as strata
Science of Computer Programming
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Increasingly, applications are being built by combining existing software components. For the most part, a software developer can treat the components as black-boxes. However, for some tasks, such as when performance tuning, a developer must consider how the components are implemented and how they interact. In these cases, a developer may be able to perform the task more effectively by using dynamic information about how the system executes. In previous work, we demonstrated the utility of a tool, called AVID (Architectural VIsualization of Dynamics), that animates dynamic information in terms of developer-chosen architectural views. One limitation of this earlier work was that AVID relied on trace information collected about the system's execution; traces for even small parts of a system's execution can be enormous, limiting the duration of execution that can be considered. To enable AVID to scale to larger, longer-running systems, we have been investigating the visualization and animation of sampled dynamic information. In this paper, we discuss the addition of sampling support to AVID, and we present two case studies in which we experimented with animating sampled dynamic information to help with performance tuning tasks.