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

机译:灰色文献和Google Scholar在软件工程系统文献评论中的使用

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摘要

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.
机译:研究的目的是计算:a)选定的系统文献评论(SLR)中的灰色文献证据; b)Google学术搜索为从选定的SLR中提取的主要研究建立索引。我们从Science Direct,IEEE Xplore,Springer Link和ACM中随机选择了20多个SLR。结果:a)随机选择20多个SLR,并进行灰色文献计算,验证了灰色文献百分比在5.7%到9.1%之间; b)第二阶段表明Google学术搜索成功检索了约91%的基础研究。

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