Iterative Knowledge Based Embedded Systems Development Framework

Iterative Knowledge Based Embedded Systems Development Framework

Goh Kiah Mok (Singapore Institute of Manufacturing Technology, Singapore), Benny Tjahjono (Cranfield University, UK) and Ding Wei (Penn State University, USA)
DOI: 10.4018/978-1-60960-086-0.ch020
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Abstract

Developing an embedded software solution can be time consuming and challenging especially for non-software trained engineers. This is because traditionally, embedded software is programmed manually in proprietary computer languages such as C, C++, Java and assembly languages, meaning that the developers have to be familiar with at least one of these languages. In addition, most of the embedded software design environments do not cater for both microprocessors-based and Field Programmable Gate Array (FPGA) based embedded computing environments, making the development process even more difficult without the assistance of a common method. This chapter proposes a design of a new embedded system code generator framework which is based on the International Electrotechnical Commission (IEC) 61499 Function Block, XML and EBNF. Along with this code generator, an Iterative Knowledge Based Code Generator (IKBCG) is presented to improve the accuracy of the target codes.
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This section presents the current embedded system environments and recent research on standard-based methodologies for embedded systems code generator.

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