SECYMar 14, 2019

A Novel Re-Targetable Application Development Platform for Healthcare Mobile Applications

arXiv:1903.05783v15 citations
Originality Incremental advance
AI Analysis

This addresses a specific bottleneck for developers in the healthcare mobile app domain, but it is incremental as it builds on existing porting techniques.

The paper tackles the problem of high application development time for computationally-intensive healthcare mobile apps when porting to many target operating systems, proposing a retargetable platform that reduces development time while maintaining performance, with experimental results showing reduced time compared to conventional methods.

The rapid enhancement of central power unit CPU performance enables the development of computationally-intensive healthcare mobile applications for smartphones and wearable devices. However, computationally intensive mobile applications require significant application development time during the application porting procedure when the number of considering target devices operating systems OSs is large. In this paper, we propose a novel retargetable application development platform for healthcare mobile applications, which reduces application development time with maintaining the performance of the algorithm. Although the number of applications target OSs increases, the amount of time required for the code conversion step in the application porting procedure remains constant in the proposed retargetable platform. Experimental results show that our proposed retargetable platform gives reduced application development time compared to the conventional platform with maintaining the performance of the mobile application.

Foundations

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