2 citations · 2 across the 2 of their papers we have counts for
3 papers
Identifying Suspected Mislabeled Apps in Google Play Application Removal Prediction: An Empirical Comparison of Label Noise Detection Methods
Deborah Dobles Montalvan, F. Mohsen, H. de Weerd
Models that predict which Google Play apps will be removed are trained on labels that record only whether an app was still in the store at a later observation. A disappeared app is…
To remove or not remove Mobile Apps? A data-driven predictive model approach
Fadi Mohsen, Dimka Karastoyanova, George Azzopardi
Mobile app stores are the key distributors of mobile applications. They regularly apply vetting processes to the deployed apps. Yet, some of these vetting processes might be inadeq…
KotlinDetector: Towards Understanding the Implications of Using Kotlin in Android Applications
Fadi Mohsen, Loran Oosterhaven, Fatih Turkmen
Java programming language has been long used to develop native Android mobile applications. In the last few years many companies and freelancers have switched into using Kotlin par…