Doohwan Kim

发表

Code refactoring techniques for reducing energy consumption in embedded computing environment

Jang-Eui Hong, Doohwan Kim, Il-Cheol Yoon, 2016, Cluster Computing.

Investigating relationships between functional coupling and the energy efficiency of embedded software

L. Chung, Jang-Eui Hong, Doohwan Kim, 2018, Software Quality Journal.

Code refactoring techniques for reducing energy consumption in embedded computing environment

Sang-Ho Lee, Jang-Eui Hong, Doohwan Kim, 2018, Cluster Computing.

Task Extraction from Software Design Models to Improve Energy Efficiency of Embedded Software

Jang-Eui Hong, Doo-Hwan Kim, Jang-Eui Hong, 2011 .

A dynamic control technique to enhance the flexibility of software artifact reuse in large-scale repository

Jang-Eui Hong, Seungwook Nam, Doohwan Kim, 2018, The Journal of Supercomputing.

A Context-Aware Architecture Pattern to Enhance the Flexibility of Software Artifacts Reuse

Jang-Eui Hong, Woosung Jung, Doo-Hwan Kim, 2016, CSA/CUTE.

A Power Consumption Analysis Technique Using UML-Based Design Models in Embedded Software Development

Jong-Phil Kim, Jang-Eui Hong, Doohwan Kim, 2011, SOFSEM.

ESUML-EAF: a framework to develop an energy-efficient design model for embedded software

Jang-Eui Hong, Doohwan Kim, 2015, Software & Systems Modeling.

Analysis of Energy Efficiency for Code Refactoring Techniques

Doo-Hwan Kim, Jang Eui Hong, Jae-Jin Park, 2014 .