作者: A Finkelstein , F Sarro , M Harman , Y Jia , Y Zhang
DOI:
关键词: Information retrieval 、 Rank (computer programming) 、 Popularity 、 Recall 、 App store 、 Computer science
摘要: This paper argues that App Store Analysis can be used to understand the rich interplay between app customers and their developers. We use data mining extract price popularity information natural language processing elicit each app�s claimed features from Blackberry Store, revealing strong correlations customer rating (rank of downloads). found evidence for a mild correlation number an also higher priced tended lower rated by users. free apps have significantly (p-value <0.001) than non-free apps, with moderately high effect size (�12 = 0.68). provide initial extracted are meaningful developers (precision 0.71, recall 0.77). All our experiments analysis made available on-line support further analysis.