Iterative knowledge based embedded systems development framework

Goh Kiah Mok; Benny Tjahjono; Ding Wei

doi:10.4018/978-1-60960-086-0.ch020

Iterative knowledge based embedded systems development framework

Goh Kiah Mok, Benny Tjahjono, Ding Wei

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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.

Original language	English
Title of host publication	Reconfigurable Embedded Control Systems
Subtitle of host publication	Applications for Flexibility and Agility
Editors	Mohamed Khalgui, Hans-Michael Hanisch
Publisher	IGI Global
Pages	542-566
Number of pages	25
ISBN (Electronic)	9781609600884
ISBN (Print)	9781609600860
DOIs	https://doi.org/10.4018/978-1-60960-086-0.ch020
Publication status	Published - 1 Dec 2010
Externally published	Yes

ASJC Scopus subject areas

Computer Science(all)

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10.4018/978-1-60960-086-0.ch020

Link to publication in Scopus

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