Design constraints and challenges behind fault tolerance systems in a mobile application framework

Design of a Mobile App with the Use of Machine Learning for the Monitoring of Coronavirus Patients (COVID 19) In Peru

“…As for the software proposed in the present prototype, Android is found with Kotlin as a tool that will serve us to convert the Java code into Kotlin so that the source code is reduced and provides other competitive advantages for the development of the App, in other research carried out on the maintainability and modularity of Android mobile applications with anti-pattern and model-view-presenter design pattern , you can see that they applied design patterns that helped them with the reduction of source code and interactivity at the time of programming the application [20]. In addition, another article mentions that object-oriented architecture, for the development of an application, does not guarantee dependency on programming modules, so it is proposed to use a programming language such as Java or C++ in the Model View and Controller (MVC) environment [21].For the interactivity and handling of the application for all types of users, it was proposed to use the Framework such as HTML, JavaScript, JQuery, to show a friendly environment, manageable for all types of user subscribed in the application it is necessary to make interactive applications and easy to understand when training in the behavior of the same [22].…”

Detecting User-Perceived Failure in Mobile Applications via Mining User Traces

“…These approaches, ranging from using simple heuristics to detect failure symptoms to adopting complex machine learning system to detect anomalies [2], detect failure from the perspective of software logs instead of user behavior or user experience. In reality, however, some failure may be already handled by fault-tolerance mechanism [3], but still leaves warning or error events in the logs. Some failure has been perceived by the users, but may still be omitted by mining software logs.…”