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A Process Tailoring Method Based on Artificial Neural Network  

Park, Soo-Jin (서강대학교 컴퓨터학과)
Na, Ho-Young (삼성전자 반도체 총괄시스템 기술팀)
Park, Soo-Yong (서강대학교 컴퓨터학과)
Publication Information
Journal of KIISE:Software and Applications / v.33, no.2, 2006 , pp. 201-219 More about this Journal
Abstract
The key to developing software with the lowest cost and highest quality is to implement or fit the software development process into a given environment. Generally, applying commercial or standard software development processes on a specific project can cause too much overhead if there is no effort to customize the given generic processes. Even though the customizing activities are done before starting the project, these activities are thoroughly dependent on the process engineers who have abundant experience and knowledge with tailoring processes. Owing to this dependence on human knowledge, it has been very difficult to explain the rationale for the results of process tailoring and it takes a long time to get the customized process that is applicable. Hence, we suggest a process tailoring method which adopts the artificial neural network based teaming theory to reduce the time consumed by process tailoring. Furthermore, we suggest the feedback loop mechanism to get higher accuracy in the neural network designed for the process tailoring. It can be done by reusing the process tailoring data results and determining its appropriateness level as sample data to the neural network. We proved the effectiveness of our process tailoring method through case studies using real historical data, which yielded abundant process tailoring results as sample data.
Keywords
Process Tailoring; Task Component; Artificial Neural Network; Process Filtering; Process Reconfiguration; Process Tailoring Parameter;
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Times Cited By KSCI : 1  (Citation Analysis)
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