JICCE (한국정보통신학회)
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| 한글제목(Korean Title) |
Semantic Similarity-Based Contributable Task Identification for New Participating Developers |
| 영문제목(English Title) |
Semantic Similarity-Based Contributable Task Identification for New Participating Developers |
| 저자(Author) |
Jungil Kim
Geunho Choi
Eunjoo Lee
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| 원문수록처(Citation) |
VOL 16 NO. 04 PP. 0228 ~ 0234 (2018. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
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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| 키워드(Keyword) |
Information retrieval
Source file identification
Task recommendation
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| 파일첨부 |
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