Search

The high demand of the room due to the increasing number of students requires the addition of the room The limited number of rooms, the price of land and the cost of building expensive infrastructure requires effective and efficient use of the space. The facility layout redesign is done using the Computerized Relationship Planning (CORELAP) algorithm based on total closeness rating (TCR). By calculating the square distance between the departments based on the coordinates of the central point of the department. The distance obtained is multiplied by the material current from the From-to chart matrix. The analysis is done by comparing the total distance between the initial layout and the proposed layout and then viewing the activities performed in each room. The results of CORELAP algorithm processing gives an increase of room usage efficiency equal to 14, 98% from previous activity.

This paper reports on evidence found of five possible relations (Plain Support, Mutual Support, Rejection, Common Refactoring, and Inclusion) among four bad smells (God Class, Long Method, Feature Envy, and Type Checking). We analyzed several releases of three open-source applications (16 for Log4j, 34 for Jmol, and 45 for JFreeChart) using four direct and two indirect metrics. This analysis uncovered correlations between three of these bad smells, namely, Feature Envy, Long Method, and God Class. The strongest correlation discovered was between Feature Envy and Long Method, followed by a mild correlation between Long Method and God Class, and between Feature Envy and God Class. These findings seem to provide initial evidence of the co-existence of bad smells and therefore, the need for bad smell removal plans to take into account these correlations in order to minimize code improvement efforts.