Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
The concept of dynamic analysis
ESEC/FSE-7 Proceedings of the 7th European software engineering conference held jointly with the 7th ACM SIGSOFT international symposium on Foundations of software engineering
Scaling an Object-Oriented System Execution Visualizer through Sampling
IWPC '03 Proceedings of the 11th IEEE International Workshop on Program Comprehension
Visual representations of executing programs
Journal of Visual Languages and Computing
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
Preattentive processes guide visual search: Evidence from patients with unilateral visual neglect
Journal of Cognitive Neuroscience
Computational visual attention systems and their cognitive foundations: A survey
ACM Transactions on Applied Perception (TAP)
ICECCS '11 Proceedings of the 2011 16th IEEE International Conference on Engineering of Complex Computer Systems
Framework for recovery and analysis of behavioral architectural views
Proceedings of the 6th Euro American Conference on Telematics and Information Systems
Stratified sampling of execution traces: Execution phases serving as strata
Science of Computer Programming
Hi-index | 0.00 |
Understanding software behaviour can help in a variety of software engineering tasks if one can develop effective techniques for analyzing the information generated from a system's run. These techniques often rely on tracing. Traces, however, can be considerably large and complex to process. In this paper, we present an innovative approach for trace analysis inspired by the way the human brain and perception systems operate. The idea is to mimic the psychological processes that have been developed over the years to explain how our perception system deals with huge volume of visual data. We show how similar mechanisms can be applied to the abstraction and simplification of large traces. Some preliminary results are also presented.