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Abstract
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Article Information:
Research on Incomplete Transaction Footprints in Networked Software
Junfeng Man, Cheng Peng, Qianqian Li and Changyun Li
Corresponding Author: Junfeng Man
Submitted: September 30, 2012
Accepted: December 12, 2012
Published: May 30, 2013 |
Abstract:
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In networked software, interactive behaviors of software entities generate lots of behavioral footprints, some of them may lose tokens or tokens are useless. The paper studies the constructing process of State Transition Model (STM) in which the process of incomplete transactions are satisfied with Markov property, it is pointed that the STM are originally extracted from behavior log files generated by the runtime behaviors of networked software. The contributions of this paper are to mark the partly tokenized behavior footprints in the STM through Maximum Flow (MF) algorithm, then find the original source for each behavior footprint. The experiment results indicate that the maximum flow algorithm can accurately turn the partly tokenized behavior into complete footprint sequences.
Key words: Behavior footprints, incomplete transaction maximum flow algorithm, networked software, state transition model, , ,
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Cite this Reference:
Junfeng Man, Cheng Peng, Qianqian Li and Changyun Li, . Research on Incomplete Transaction Footprints in Networked Software. Research Journal of Applied Sciences, Engineering and Technology, (24): 5561-5565.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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