Eliciting customer's requirements is the most important issue for a system integration project. Failure to elicit the customer's requirements can cause an enormous correction cost. However there are only a few practical, concrete guidelines to do.In this paper, we describe a method to extract viewpoints and checklists for eliciting customer's requirements more effectively based on analyzing specification change records. The flow of the method is 1) representing the records in an easy-readable format,
2) identifying the causes and the phases, 3) categorizing them, 4) putting a name to a category, namely a viewpoint and 5) deriving check-items for each viewpoint.We applied the method to 135 records from 4 system development cases, and we derived 39 checkitems in total. We found 78% of the specification change cases could have been prevented by only 10 check-items of requirements elicitation process. This result shows that the proposed method works effectively to extract the viewpoints for eliciting customer's requirements.
Using 50 samples of umbilical cord blood lymphocytes from Japanese donors, we analysed two human T-cell receptor beta variable (TCRBV) genes, BV6S4 and BV6S5, for their polymorphism, usage frequencies and CD4/CD8 skewness. They showed contrasting CD4/CD8 skewness, BV6S4 to CD8+ T cells and BV6S5 to CD4+ T cells. Genotyping of the BV6S4 alleles (A1, A2 and A3) revealed two of the six possible BV6S4 genotypes, A1/A2 and A2/A2. Among the two BV6S4 genotypes, no significant difference was detected in usage frequency or CD4/CD8 skewness. On the other hand, genotyping of the BV6S5 alleles (A1 and A2) revealed all three possible BV6S5 genotypes, A1/A1, A1/A2 and A2/A2, and the gene usage frequency was high, in the order A1/A1 > A1/A2 > A2/A2. These results indicate that the amino acid substitutions in BV6S5 (S36R and G70E) are in some way associated with the expression level of this gene. In the analysis of CD4/CD8 skewness, the three BV6S5 genotypes had similar skewness, indicating that A1 alleles are expressed more frequently than A2 alleles in both CD4+ and CD8+ T-cell populations. Although BV6S5 exhibits marked skewness to CD4+ T cells, our results indicate that the higher expression of A1 alleles is not associated with the increased ratio of CD4+ T cells.
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