An open graph visualization system and its applications to software engineering
Software—Practice & Experience - Special issue on discrete algorithm engineering
An evaluation of space-filling information visualizations for depicting hierarchical structures
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
Algorithms on Trees and Graphs
Algorithms on Trees and Graphs
Automated support for classifying software failure reports
Proceedings of the 25th International Conference on Software Engineering
TreeJuxtaposer: scalable tree comparison using Focus+Context with guaranteed visibility
ACM SIGGRAPH 2003 Papers
InterRing: a visual interface for navigating and manipulating hierarchies
Information Visualization
Perfdiff: a framework for performance difference analysis in a virtual machine environment
Proceedings of the 6th annual IEEE/ACM international symposium on Code generation and optimization
Measuring the performance of interactive applications with listener latency profiling
Proceedings of the 6th international symposium on Principles and practice of programming in Java
Scenario-Based Comparison of Clone Detection Techniques
ICPC '08 Proceedings of the 2008 The 16th IEEE International Conference on Program Comprehension
A Tree Distance Function Based on Multi-sets
New Frontiers in Applied Data Mining
Tracking performance across software revisions
PPPJ '09 Proceedings of the 7th International Conference on Principles and Practice of Programming in Java
Debugging in the (very) large: ten years of implementation and experience
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
Exploring large profiles with calling context ring charts
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Visualizing and exploring profiles with calling context ring charts
Software—Practice & Experience
Automated GUI performance testing
Software Quality Control
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
Debugging performance failures
Proceedings of the 6th Workshop on Dynamic Languages and Applications
Tracking down software changes responsible for performance loss
Proceedings of the International Workshop on Smalltalk Technologies
Tracking performance failures with rizel
Proceedings of the 2013 International Workshop on Principles of Software Evolution
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When developers profile their applications to identify performance problems, they normally use profilers producing calling context trees. A calling context tree (CCT) represents the caller-callee relationships of a program. A dynamically collected CCT provides method coverage information. The CCTs produced by profilers also include method hotness information. Trevis, our context tree visualization and analysis framework, allows users to visualize, compare, cluster, and intersect CCTs produced by profilers. We evaluate Trevis in the context of a novel profiling tool called FlyBy. FlyBy runs transparently on an end-user's computer and continuously samples the applications' call stack. When the user perceives the application as sluggish, she presses a "Was Slow!" button to tell FlyBy to file a performance failure report. The report contains the CCT based on the call stack samples FlyBy gathered over the last few seconds before the user pressed the button. We show how Trevis allows us to visualize and classify FlyBy bug reports.