2022 Volume 88 Issue 1 Pages 102-107
In this research, we propose a man-hours quality adjustment method to evaluate the mounting man-hours and automation effect and calculate the implementation priority for the design knowledge extracted by the designer hearing. Using 142 design knowledge, the score of the effect of automation and the FP value were graphed to identify the area to be automated. In addition, the automation priority visualizes the knowledge that should be implemented with priority and the expected man - hours, and shows the possibility that it can be used to determine the development policy of the automation system. Compared with the implementation candidate contents selected by matching users and developers, we identified that 80% of contents selected by matching users and developers was included a top 50% of prioritized knowledge. This selection capability was better than priority assignment method based on the number of related knowledge. And, this method was expected to reduce the quality adjustment man-hours by 95% from the conventional method. The proposal method is considered to be widely applicable to the development of systems that automate tasks performed by humans.