Cart (Loading....) | Create Account
Close category search window
 

Exploiting text mining techniques in the analysis of execution traces

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Pirzadeh, H. ; Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada ; Hamou-Lhadj, A. ; Shah, M.

The analysis of execution traces can be useful in many software engineering activities including debugging, feature enhancement, performance analysis, and any other task that requires some degree of understanding of the way a system behaves. Traces, however, tend to be considerably large, which often hinders effective analysis of their content. There is a need to investigate ways to help software engineers find and understand important information conveyed in a trace despite the trace being massive. Motivated by the work done in the area of text mining, we propose, in this paper, a trace exploration approach based on examining the trace execution phases. The approach consists of automatically identifying relevant information about the phases as well as the ability to provide an efficient representation of the flow of phases by detecting redundant phases using a cosine similarity metric. We applied our approach to large traces generated from two different systems and were able to quickly understand their content and extract higher level views that characterize the essence of the information conveyed in these traces.

Published in:

Software Maintenance (ICSM), 2011 27th IEEE International Conference on

Date of Conference:

25-30 Sept. 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.