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首页> 外文会议>IEEE Annual Computers, Software, and Applications Conference >Google Scholar vs. Dblp vs. Microsoft Academic Search: An Indexing Comparison for Software Engineering Literature
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Google Scholar vs. Dblp vs. Microsoft Academic Search: An Indexing Comparison for Software Engineering Literature

机译：Google学术搜索与Dblp与微软学术搜索：软件工程文献索引比较

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Background: One of the necessary conditions for any substantial research work is to synthesis the depth and the breath of the existing published literature on that topic. It is, thus, of extreme importance for a researcher to understand and look for both credible and exhaustive information sources. This first (important) step can be made significantly easier if the researcher can employ a more systematic way to extract the maximum of the literature on the topic. Objective: Essentially, the objective of this preliminary study is to rank three freely available academic search engines (Google Scholar, DBLP, Microsoft Academic Search) on the basis of the indexed Software Engineering academic literature they contain. Method: We have used a systematic mapping to conduct the study. Results: After extracting and analyzing 1067 secondary studies (from 18 tertiary studies), we have concluded that Google Scholar has indexed 98.96%, DBLP has indexed 93.43%, and Microsoft Academic Search engine has indexed 97.46% of the secondary studies. Thus, this implies that Google Scholar and Microsoft Academic Search might be a better-suited option for searching for secondary studies.
机译：背景：进行任何实质性研究工作的必要条件之一是综合有关该主题的现有已出版文献的深度和气息。因此，对于研究人员而言，了解和寻找可靠和详尽的信息源至关重要。如果研究人员可以采用更系统的方法来提取有关该主题的最多文献，则可以使这一第一步（重要步骤）变得更加容易。目标：本质上，该初步研究的目的是根据所包含的索引软件工程学术文献，对三个免费的学术搜索引擎（Google Scholar，DBLP，Microsoft Academic Search）进行排名。方法：我们使用了系统的地图进行研究。结果：在提取并分析了1067项二级研究（来自18项三级研究）后，我们得出的结论是，Google学术搜索的索引为98.96％，DBLP的索引为93.43％，Microsoft学术搜索引擎的索引为97.46％。因此，这意味着Google Scholar和Microsoft Academic Search可能是搜索中学课程的更合适选择。

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