Novel Validation Method for the R&D Project Status Visualization
Hideki Hayashida, Masakazu Takahashi, Hiroki Funashima · Procedia Computer Science · 2019
This paper attempts to understand the R&D project current state by the visualization of Physics model simulation. These kinds of R&D project study have done by either quantitatively or qualitatively approach. However, the integration of the two types of approaches has not enough studied. The state of the R&D project is considered to be the sum of correlation interaction due to various factors. The physical Ising model applied as the 6-dimensional model was implemented into the research development to analyse the interaction of R&D project. This model consists of two parts: quantitative and qualitative. Although it was shown that the project could be analyzed and visualized by combining the quantitative part and the qualitative part, sufficient discussion was not made on the details of the qualitative part. In this research, we focused on the qualitative part and analyzed qualitative analysis by text mining and found adequate for its contents. As a result, we found that it is likely to be able to add new findings based on quantitative data analysis by text mining to the conventional evaluation method. This paper attempts to understand the R&D project current state by the visualization of Physics model simulation. These kinds of R&D project study have done by either quantitatively or qualitatively approach. However, the integration of the two types of approaches has not enough studied. The state of the R&D project is considered to be the sum of correlation interaction due to various factors. The physical Ising model applied as the 6-dimensional model was implemented into the research development to analyse the interaction of R&D project. This model consists of two parts: quantitative and qualitative. Although it was shown that the project could be analyzed and visualized by combining the quantitative part and the qualitative part, sufficient discussion was not made on the details of the qualitative part. In this research, we focused on the qualitative part and analyzed qualitative analysis by text mining and found adequate for its contents. As a result, we found that it is likely to be able to add new findings based on quantitative data analysis by text mining to the conventional evaluation method.