Kouji Aoyama

Design and Evaluation a Knowledge Management System by Using Mathematical Model of Knowledge Transfer

Based on our experiences, we have proposed a mathematical model for knowledge transfer in order to make knowledge management mechanism or system take root in the organization and to obtain guidelines to make it work. We are developing a know-how sharing system designed based on the insight obtained from the proposed model. We derived and applied the two ideas as design guidelines based on the analysis using the proposed model: one is mutual reviewing to increase the sense of participation, and another is establishment of the criteria to evaluate the background information about the knowledge to be shared. In this paper, we explain the proposed mathematical model and the system design based on the model. And we describe the evaluation on the prototype system. It shows that the mathematical model could derive guidelines to make the KM system work well.

Extraction of viewpoints for eliciting customer's requirements based on analysis of specification change records

Eliciting customers requirements is the most important issue for a system integration project. Failure to elicit the customers 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 customers 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 check-items 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 customers requirements.

Domain Knowledge Wiki for Eliciting Requirements

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