Macleod

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Performance Impact Analysis with KPP using Application Response Measurement in E-Government Systems
Namho Yoo, Ph.D. DoD/HA Falls Church, Virginia, USA Namho.Yoo@us.army.mil

Abstract
In this paper, the performance impact analysis of egovernment 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.

1. Introduction
In a sustained system, impact analysis is required to make decisions prior to making system changes associated with new requirements [1]. System engineers are faced with the problem of analyzing nonfunctional impacts as well as functional impacts. There is a growing recognition of the role of the system engineer in determining the quality of a system. This analysis is driven by non-functional requirements such as performance, security, reliability, modifiability, reusability, and economic constraints. Among these requirements, the performance requirement is a critical component in the non-functional area. Most

performance failures occur due to a lack of consideration of performance issues in the

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