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Coding Overhead Of Mobile Apps, Yoonsik Cheon
Coding Overhead Of Mobile Apps, Yoonsik Cheon
Departmental Technical Reports (CS)
A mobile app runs on small devices such as smartphones and tablets. Perhaps, because of this, there is a common misconception that writing a mobile app is simpler than a desktop application. In this paper, we show that this is indeed a misconception, and it's the other way around. We perform a small experiment to measure the source code sizes of a desktop application and an equivalent mobile app written in the same language. We found that the mobile version is 19% bigger than the desktop version in terms of the source lines of code, and the mobile code is …
Code Reuse Between Java And Android Applications, Yoonsik Cheon, Carlos V. Chavez, Ubaldo Castro
Code Reuse Between Java And Android Applications, Yoonsik Cheon, Carlos V. Chavez, Ubaldo Castro
Departmental Technical Reports (CS)
Java and Android applications can be written in the same programming language. Thus, it is natural to ask how much code can be shared between them. In this paper, we perform a case study to measure quantitatively the amount of code that can be shared and reused for a multiplatform application running on the Java platform and the Android platform. We first configure a development environment consisting of platform-specific tools and supporting continuous integration. We then propose a general architecture for a multiplatform application under a guiding design principle of having clearly defined interfaces and employing loose coupling to accommodate …
Multiplatform Application Development For Android And Java, Yoonsik Cheon
Multiplatform Application Development For Android And Java, Yoonsik Cheon
Departmental Technical Reports (CS)
Software developers of today are under increasing pressure to support multiple platforms, in particular mobile platforms. However, developing a multiplatform application is difficult and challenging due to a variety of platform differences. We propose a native approach for developing a multiplatform application running on two similar but different platforms, Java and Android. We address practical software engineering concerns attributed to native multiplatform application development, from configuration of tools to software design and development process. Our approach allows one to share 37%~40% of application code between the two platforms as well as improving the quality of the application. We believe our …
Sudoku App: Model-Driven Development Of Android Apps Using Ocl?, Yoonsik Cheon, Aditi Barua
Sudoku App: Model-Driven Development Of Android Apps Using Ocl?, Yoonsik Cheon, Aditi Barua
Departmental Technical Reports (CS)
Model driven development (MDD) shifts the focus of software development from writing code to building models by developing an application as a series of transformations on models including eventual code generation. Can the key ideas of MDD be applied to the development of Android apps, one of the most popular mobile platforms of today? To answer this question, we perform a small case study of developing an Android app for playing Sudoku puzzles. We use the Object Constraint Language (OCL) as the notation for creating precise models and translate OCL constraints to Android Java code. Our findings are mixed in …
Impacts Of Java Language Features On The Memory Performances Of Android Apps, Yoonsik Cheon, Adriana Escobar De La Torre
Impacts Of Java Language Features On The Memory Performances Of Android Apps, Yoonsik Cheon, Adriana Escobar De La Torre
Departmental Technical Reports (CS)
Android apps are written in Java, but unlike Java applications they are resource-constrained in storage capacity and battery lifetime. In this document, we perform an experiment to measure quantitatively the impact of Java language and standard API features on the memory efficiency of Android apps. We focus on garbage collection because it is a critical process for performance affecting user experience. We learned that even Java language constructs and standard application programming interfaces (APIs) may be a source of a performance problem causing a significant memory overhead for Android apps. Any critical section of code needs to be scrutinized on …
Hifocap: An Android App For Wearable Health Devices, Yoonsik Cheon, Rodrigo A. Romero
Hifocap: An Android App For Wearable Health Devices, Yoonsik Cheon, Rodrigo A. Romero
Departmental Technical Reports (CS)
Android is becoming a platform for mobile health-care devices and apps. However, there are many challenges in developing soft real-time, health-care apps for non-dedicated mobile devices such as smartphones and tablets. In this paper we share our experiences in developing the HifoCap app, a mobile app for receiving electroencephalogram (EEG) wave samples from a wearable device, visualizing the received EEG samples, and transmitting them to a cloud storage server. The app is network and data-intensive. We describe the challenges we faced while developing the HifoCap app---e.g., ensuring the soft real-time requirement in the presence of uncertainty on the Android platform---along …
Extending Java For Android Programming, Yoonsik Cheon
Extending Java For Android Programming, Yoonsik Cheon
Departmental Technical Reports (CS)
Android is one of the most popular platforms for developing mobile applications. However, its framework relies on programming conventions and styles to implement framework-specific concepts like activities and intents, causing problems such as reliability, readability, understandability, and maintainability. We propose to extend Java to support Android framework concepts explicitly as built-in language features. Our extension called Android Java will allow Android programmers to express these concepts in a more reliable, natural, and succinct way.