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논문 기본 정보

자료유형
학술저널
저자정보
Jungil Kim (Kyungpook National University) Geunho Choi (Kyungpook National University) Eunjoo Lee (Kyungpook National University)
저널정보
한국정보통신학회JICCE Journal of information and communication convergence engineering Journal of information and communication convergence engineering Vol.16 No.4
발행연도
2018.12
수록면
228 - 234 (7page)

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초록· 키워드

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In software development, the quality of a product often depends on whether its developers can rapidly find and contribute to the proper tasks. Currently, the word data of projects to which newcomers have previously contributed are mainly utilized to find appropriate source files in an ongoing project. However, because of the vocabulary gap between software projects, the accuracy of source file identification based on information retrieval is not guaranteed. In this paper, we propose a novel source file identification method to reduce the vocabulary gap between software projects. The proposed method employs DBPedia Spotlight to identify proper source files based on semantic similarity between source files of software projects. In an experiment based on the Spring Framework project, we evaluate the accuracy of the proposed method in the identification of contributable source files. The experimental results show that the proposed approach can achieve better accuracy than the existing method based on comparison of word vocabularies.

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Abstract
I. INTRODUCTION
II. RELATED WORKS
III. APPROACH
IV. EXPERIMENTS
V. CONCLUSION
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