This paper proposes a Reuse-Oriented Process Component Representation framework for the description and classification of Process Components (PCs). The key features of our approach are the division of process component descriptions into a goal-oriented PC's General Information Description (PGD), an implementation-oriented PC's Specification Description (PSD) and an improvement-oriented PC's Data Description (PDD). A facet-based PC classification scheme and an XML-based process description method ispresented. A retrieval model based on tree-containment matching is given, which can improve the recall while maintaining a high level precision. Finally, a reuse based process and project management system (P2MS) to support process improvement and control is also introduced in this paper.
SUMMARYThe stability of a Kalman filter based on an adaptive estimator in the time average sense for a time-varying stochastic system with correlated noise is obtained under a persistent excitation condition. The stabilities of the closed-loop system and estimating error are established by designing an adaptive control law and restricting the growth rates of input and output signals. The stabilities of the extended least squares algorithm with forgetting factor and with covariance modification in the time average sense and sample average sense respectively are obtained.
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