Clustering Mobile Apps based on Design and Manufacturing Genre
Wenqi Sun, Songyang Wu, Zhi Xue · 2020
Nowadays, mobile apps are surging around the world. Instead of hitting shelves of official app stores, many apps are posted on webpages or spread by social media, because choosing the later way could save time and energy to release mobile apps. However, it is difficult to know the app type and developer information of this kind of mobile apps without installation. Sometimes, we need to know which mobile apps are similar, which apps are developed by the same person or group. Therefore, clustering mobile apps in an unsupervised way is quite important. In this paper, we propose a mobile app clustering scheme based on code design and app manufacturing genre. Results show that the clustering scheme could efficiently find similar apps and the similarity computed by functional design characteristics will achieve better clustering performance.