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http://dx.doi.org/10.3745/KTSDE.2013.2.8.527

Software Replacement Time Prediction Technique Using the Service Level Measurement and Replacement Point Assessment  

Moon, Young-Joon (숭실대학교 컴퓨터학과)
Rhew, Sung-Yul (숭실대학교 컴퓨터학부)
Publication Information
KIPS Transactions on Software and Data Engineering / v.2, no.8, 2013 , pp. 527-534 More about this Journal
Abstract
The software is changed according to the changing businesses and the user requirement, it involves increasing complexity and cost. Considering the repetitive changes required for the software, replacement is more efficient than maintenance at some point. In this study, the replacement time was predicted using the service dissatisfaction index and replacement point assessment index by the software group for each task. First, fuzzy inference was used to develop the method and indicator for the user's service level dissatisfaction. Second, the replacement point assessment method was established considering the quality, costs, and new technology of the software. Third, a replacement time prediction technique that used the gap between the user service measurement and replacement point assessment values was proposed. The results of the case study with the business solutions of three organizations, which was conducted to verify the validity of the proposed prediction technique in this study, showed that the service dissatisfaction index decreased by approximately 16% and the replacement point assessment index increased by approximately 9%.
Keywords
IT Service; Maintenance; Fuzzy Inference; Prediction Technique; Replacement Management;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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