期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2019
卷号：19
期号：12
页码：157-164
出版社：International Journal of Computer Science and Network Security
摘要：The study is designed to scrutinize mobile app ratings for requirements extraction as well as to check quality of an app through the exploitation of interleaved and independent mobile app rating schema, which comprises of ratings and reviews. However, a developer intends to collect app ratings for gathering its requirements because of throwing a newer version towards its users over an app store, which provides them easiness in all aspects. An ontological strategy is the best way to evaluate the accurate analysis of app ratings by interpreting them in such a proposed interface, which actually enumerates best results by putting a good strength of its schema. Hence, a developer can easily extract requirements with a complete rigorousness, so also it becomes less challenging to satisfy the users. The study goes through the ontological phenomenon throughout the complete scenario of requirements extraction, which a developer can easily put them in practice.
关键词：App rating;Google Play store;NLP;Feedback;Requirements extraction
