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This paper describes the application of two variants of clustering techniques to a matrix of requirements (use cases) vs. design units (classes), with the aim of augmenting the design of software component architectures. One algorithm used a modified COMO matrix-clustering algorithm, while the other is average-linkage agglomerative clustering based on(More)
In this paper, we follow the model of interpurchase times to achieve heterogeneity across customers. We employ a mixture model to segment customers into three states: super-active, active and inactive. The interpurchase model and mixture model are solved by the hierarchical Bayes via Markov Chain Monte Carlo method. We employ CUSUM chart based on the(More)
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