Perception-Based Classification of Mobile Apps: A Critical Review

Nowadays, small computing development, especially mobile application development phenomenon is increasing very rapidly. After downloading/installing/using application, the users can share their experience related to rating, gratification, dissatisfaction, etc. with the app on various distribution platforms. Since 2008, these platforms are very popular for the mobile app users. However, their real potential for the development process is not yet well understood. This paper presents a critical analysis of perception-based user reviews of mobile apps. We analysed over 16,000 reviews of different mobile apps available on the Google Play store. This paper also introduces several challenging issues to classify mobile app reviews into different categories such as reviews related to the requirement, user interface, design, testing, trust, maintenance and battery. We investigated the frequency of occurrence and impact of the issues on the success of mobile applications. This analysis necessitates a tailor-made version of the software development model which suits mobile app development.

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