Paper
11 September 2015 Discovering of execution patterns of subprograms in execution traces
Michał Komorowski
Author Affiliations +
Proceedings Volume 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015; 96623D (2015) https://doi.org/10.1117/12.2205086
Event: XXXVI Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (Wilga 2015), 2015, Wilga, Poland
Abstract
This article describes an approach to the analysis of historical debuggers logs (execution traces). Historical debuggers are tools that provide insight into the history of programs execution. The author focuses on finding execution patterns of subprograms in these logs in an efficient way and proposes a method of visualising them. Execution patterns are a form of automatically generated specification/documentation of software which show usage of subprograms. In order to discover them in execution traces an existing algorithm was adapted. This algorithm is based on suffix arrays and it finds patterns in text application logs in the linear time with the respect to the length of logs. Additionally, Extended Call Graphs were introduced to visualise the execution patterns. They contain more information in comparison with standard call graphs.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michał Komorowski "Discovering of execution patterns of subprograms in execution traces", Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 96623D (11 September 2015); https://doi.org/10.1117/12.2205086
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KEYWORDS
Visualization

Electrocardiography

Neodymium

Data modeling

Associative arrays

Mining

Acquisition tracking and pointing

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