Hye Young Jeon , Jing Shu Jin , Sung Yul Rhew

The KIPS Transactions:PartD, Vol. 17, No. 2, pp. 119-128, Apr. 2010
10.3745/KIPSTD.2010.17.2.119,   PDF Download:

Abstract

The application field of OSS is being expanded farther and the existing studies are well established theoretically but not actually widely used. Because so many criteria and complexity of selection methods result in low efficiency and not proper for use. In this master's thesis, to solve these problems I propose a selecting technique for OSS with less criteria, which is more effective and easy to use than before. Based on the existing studies, we identify assessment criteria which common used and redefine 14 evaluation attributes as well as 31 assessment criteria through elimination and grouping. And evaluate the criteria in four steps such as Initial assessment, Functional assessment, Characteristical assessment and Supplemental assessment. To evaluate the adequacy of suggested technique, 29 database management tools for MySQL are selected as candidates, and applied to the technique I proposed. As the result, time and effort for evaluation is reduced sharply and we can use this technique more easily.

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