Logging Practices with Mobile Analytics: An Empirical Study on Firebase
Software logs are of great value in both industrial and open-source projects. Mobile analytics logging enables developers to collect logs from the end users at the cost of recording and transmitting logs across the Internet to a centralised infrastructure. The goal of this paper is to make the first step in the characterisation of logging practices of a widely adopted mobile analytics logging library, namely Firebase Analytics. With this study, we aim to understand what are the common developers’ needs that push practitioners to adopt logging practices on mobile devices.
We propose an empirical evaluation of the use of Firebase Analytics in open-source Android applications that shows how mobile analytics logs are less pervasive and less maintained than traditional logging code. Finally, while the main goal of traditional logging consists in gathering information for debugging purposes, logging becomes more user centered when mobile analytics is used for logging.
BibTeX:
@inproceedings{aniche-mobile-analytics-empirical-study, author = "Julian Harty and Haonan Zhang and Lili Wei and Luca Pascarella and Maurício Aniche and Weiyi Shang", title = "Logging Practices with Mobile Analytics: An Empirical Study on Firebase", booktitle = "Proceedings of 8th IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft)", year = 2021, doi = "10.1109/MobileSoft52590.2021.00013" }