Smart virtual machine code based compilers for supporting multi programming languages in smart cross platform
- Authors
- Son, Y.S.; Lee, Y.S.
- Issue Date
- 2014
- Publisher
- Science and Engineering Research Support Society
- Keywords
- Compiler; Platform independence; SIL (Smart Intermediate Language); Smart cross platform; Smart device; SVM (Smart Virtual Machine); Virtual machine code
- Citation
- International Journal of Software Engineering and its Applications, v.8, no.5, pp 249 - 260
- Pages
- 12
- Indexed
- SCOPUS
- Journal Title
- International Journal of Software Engineering and its Applications
- Volume
- 8
- Number
- 5
- Start Page
- 249
- End Page
- 260
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/17636
- DOI
- 10.14257/ijseia.2014.8.5.20
- ISSN
- 1738-9984
- Abstract
- The Smart Cross Platform was developed by our research team as a platform based on virtual machines for smart devices. It is composed of three parts; compiler, assembler and virtual machine. It supports C/C++, Objective-C and Java programming languages for contents development. Contents made of each language are converted to an intermediate code by the compiler. The SIL (Smart Intermediate Language) has been designed as a standard model of virtual machine codes for ordinary smart phones and embedded systems. It is a set of stack based commands which has the characteristics of language independence, hardware independence and platform independence. It is used as intermediate code which can accommodate procedural language and object orientated language. Intermediate code is converted to execution format by the assembler and executed in the Smart Virtual Machine. The SVM (Smart Virtual Machine) is a stack based virtual machine solution, loaded on smart devices, which allows dynamic application programs to be downloaded and run platform independently. In this paper, we present the virtual machine code based the compilers for the SVM. This makes the existing mobile contents to be ported quickly, and to be executed to a different platform. © 2014 SERSC.
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Collections - College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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