The traditional procedure for the building change detection is subjective to user's knowledge of the involved data. The complexity increases further due to unavailability of a public data set that is scanned on two different dates. Therefore, the manual changes in the reference data are more common to generate modified data. This paper first presents a strategy to introduce five types of changes in the reference data. Next, the proposed robust building change detection method runs analysis on planes' connectivity to represent the 3D building models of the reference and modified data. Based on the plane connection information, the 3D building models are compared for identification of the building changes and classify them into unchanged, demolished, new, modified, and partially-modified planes. The experimental results show that the proposed building change detection method successfully detects all introduced changes in the test data set.