App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …

Recent software advances have led to an expansion of the development and usage of
application programming interfaces (APIs). From millions of Android packages (APKs) …

Deep learning applications become increasingly popular in important domains such as self-
driving systems and facial identity systems. Defective deep learning applications may lead to …

App Stores, such as Google Play or the Apple Store, allow users to provide feedback on
apps by posting review comments and giving star ratings. These platforms constitute a …

Mobile app developers constantly monitor feedback in user reviews with the goal of
improving their mobile apps and better meeting user expectations. Thus, automated …

Developers have to to constantly improve their apps by fixing critical bugs and implementing
the most desired features in order to gain shares in the continuously increasing and …

In the context of software platforms, we examine how cross-side network effects (CNEs) on
different platform sides (app-side and user-side) are temporally asymmetric, and how these …

The purpose of this study is to perform a synthesis of API research. The study took stock of
literature from academic journals on APIs with their associated themes, frameworks …

Nowadays software applications, and especially mobile apps, undergo frequent release
updates through app stores. After installing/updating apps, users can post reviews and …

Mobile developers face unique challenges when detecting and reporting crashes in apps
due to their prevailing GUI event-driven nature and additional sources of inputs (eg, sensor …