Recommending new features from mobile app descriptions

• Main Authors: JIANG, He, ZHANG, Jingxuan, LI, Xiaochen, REN, Zhilei, LO, David, WU, Xindong, LUO, Zhongxuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Mobile applications; feature recommender system; domain analysis; topic model; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4489; https://ink.library.smu.edu.sg/context/sis_research/article/5492/viewcontent/a22_jiang__1_.pdf
• Institution: Singapore Management University

The rapidly evolving mobile applications (apps) have brought great demand for developers to identify new features by inspecting the descriptions of similar apps and acquire missing features for their apps. Unfortunately, due to the huge number of apps, this manual process is time-consuming and unsca...