DocumentCode :
2208820
Title :
Performance impact analysis with KPP using application response measurement in E-government systems
Author :
Yoo, Namho
Author_Institution :
DoD/HA, Falls Church, VA, USA
fYear :
2009
fDate :
20-26 Sept. 2009
Firstpage :
503
Lastpage :
506
Abstract :
In this paper, the performance impact analysis of e-government systems with key performance parameters is being considered. Meaningful impact analysis in sustained government systems is required for considering non-functional requirements and functional requirements. Performance requirements are a critical component of non-functional areas. For example, if a new system change is set to the system, the impact in terms of the response time must be implemented in each sub-system. In this paper, an XML-based framework can be used to analyze performance impacts on sub-systems and can provide a scheme to enhance impact analysis by performance monitoring using application response measurement. Through a health system example as a case study, a performance requirement model to describe extended trees and adapting analysis result of performance monitoring using application response measurement and XML tree representation are addressed. This paper also proposes a scheme for prioritized processing and an algorithm for effectively enhancing impact analysis in a timely fashion.
Keywords :
XML; government data processing; software performance evaluation; tree data structures; XML-based framework; application response measurement; e-government systems; extended trees; key performance parameter; performance impact analysis; performance monitoring; prioritized processing; Algorithm design and analysis; Delay; Electronic government; Monitoring; Performance analysis; Reliability engineering; System testing; Systems engineering and theory; Time measurement; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance, 2009. ICSM 2009. IEEE International Conference on
Conference_Location :
Edmonton, AB
ISSN :
1063-6773
Print_ISBN :
978-1-4244-4897-5
Electronic_ISBN :
1063-6773
Type :
conf
DOI :
10.1109/ICSM.2009.5306282
Filename :
5306282
Link To Document :
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