Investigating the relationship between price, rating, and popularity in the Blackberry World App Store

• DOI: 10.1016/j.infsof.2017.03.002
• Publication Date: 2017-03-11T17:01:10Z
• Authors: Anthony Finkelstein; Mark Harman; Yue Jia; William Martin; Federica Sarro; Yuanyuan Zhang
• Keywords: Popularity; App store; Mobile apps

Context: App stores provide a software development space and market place that are both different from those to which we have become accustomed for traditional development: The granularity is finer there far greater source of information available research analysis. Information on price, customer rating and, through the data mining approach presented in this paper, features claimed by app developers. These attributes make ideal empirical engineering Objective: This paper1 exploits Store Analysis understand rich interplay between customers their Method: We use extract descriptions, rating, popularity Blackberry World Store, natural language processing elicit each apps' its description. Results: findings reveal strong correlations (rank downloads). found evidence mild correlation price number also higher priced tended be lower rated users. free apps significantly (p-value < 0.001) ratings than non-free apps, with moderately high effect size (A^12=0.68). All our experiments analysis made on-line support further investigations.