Open AccessMining detailed information from the description for App functions comparison
Author(s) -
Liu Huaxiao,
Yin Xinglong,
Song Shanshan,
Gao Shanquan,
Zhang Mengxi
Publication year - 2022
Publication title -
iet software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.305
H-Index - 43
eISSN - 1751-8814
pISSN - 1751-8806
DOI - 10.1049/sfw2.12042
Subject(s) - computer science , competitor analysis , process (computing) , plan (archaeology) , cover (algebra) , scheme (mathematics) , data science , software engineering , world wide web , engineering , mechanical engineering , mathematical analysis , mathematics , management , archaeology , economics , history , operating system
The rapid development of Apps not only brings huge economic benefit but also causes increasingly fierce competition. In such a situation, developers are required to develop and update innovative functions to attract and retain users. Afterwards, analysing the functions of similar products can help developers formulate a well‐designed plan at the beginning of development as well as make updated strategies during the version update process. However, although there have been some methods that can be applied to extract the features from App descriptions to achieve this purpose to some extent, the features they obtained do not cover the details of App functions. Therefore, to conduct an in‐depth research on App functions, a novel method is proposed to extract App features with detailed information and an approach to integrate the gained results for further helping developers obtain the valuable knowledge better is provided. Subsequently, a series of experiments is carried out to evaluate our method. The results reveal that the proposed method can mine the features with detailed information from descriptions and integrate them effectively and also can assist developers to compare with other competitors and develop a better competitive analysis scheme.