灰色文献和Google Scholar在软件工程系统文献综述中的应用

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI:10.1109/COMPSAC48688.2020.0-121

R. Fatima, Affan Yasin, Lin Liu, Jianmin Wang

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引用次数: 1

摘要

本研究的目的是计算:a)选定的系统文献综述(SLRs)中的灰色文献证据;b)谷歌从选定单反中提取的主要研究的Scholar索引。我们从Science Direct, IEEE explore，施普林格Link和ACM中随机选择了20多台单反。结果:a)随机选取20+单反并进行灰色文献计算，灰色文献百分比在5.7% ~ 9.1%之间;b)第二阶段显示谷歌Scholar成功检索了约91%的初级研究。

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The Use of Grey Literature and Google Scholar in Software Engineering Systematic Literature Reviews

Objective of the study is to calculate: a) grey literature evidence in the selected Systematic literature reviews (SLRs); b) Google Scholar indexing for the extracted primary studies from the selected SLRs. We have randomly selected 20+ SLRs from Science Direct, IEEE Xplore, Springer Link and ACM. Result: a) Random selection of 20+ SLRs and grey literature calculation verifies that the grey literature percentage ranges around 5.7% to 9.1%; b) The second phase showed that Google Scholar was successful in retrieving around ~91% of the primary studies.

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来源期刊

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)

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