Identifying the effect of Success Factors on Predicting Android Mobile App Success on Google Play Store

At the present time, mobile apps play an imperative role in everyone's life. Thousands of apps are being put on the Play Store market for users to install every day. But the life of the app on the Play Store depends on its success parameters. As there is substantial growth in the mobile app market, the competition among software app developers has also increased. Several attributes of an app, attributes that are either internal or external to it, can perform a substantial role in deciding whether the app will be successful or not. In this research paper, an effort has been made to find the success factors that may affect the success of the app. For this, a literature survey is first conducted to find these success factors, and then a survey is conducted through an online questionnaire from mobile app users. Findings from the survey corroborate that out of 14 identified success factors, the security of on app plays a pivotal role. After that, design quality and content quality equally play another major role in the success of an app. The mobile app reviews/input collected via the survey are further utilized as influencers/predictors in predicting the overall success of an app using Machine learning algorithms. To achieve this, various Machine Learning algorithms are applied using “Python web-based interactive Jupiter Notebook 7.0.8". The accuracy of the final selected model is 96%, which is the highest accuracy among many existing models in the literature.