Exploring Automatic Search in Digital Libraries: A Caution Guide for Systematic Reviewers

Paramvir Singh, Karanpreet Singh
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引用次数: 13

Abstract

Search phase is considered as one of the most important steps in conducting secondary studies such as systematic literature reviews and mapping studies. In recent times, automatic search in digital libraries and academic search engines has been the preferred method of search phase execution for most software engineering related secondary studies. However, there are no previous studies that report or evaluate the secondary study relevant search features of these electronic data sources. We perform a feature analysis (screening mode) based evaluation of five widely used digital libraries (IEEE Xplore, ACM DL, SpringerLink, ScienceDirect and Wiley) in terms of their respective features required to support the search phase of secondary studies. We identify a total of 68 search related features and conduct a comprehensive exploration into their execution behaviors. The overall work presents a useful caution guide for systematic reviewers who plan to use the identified features for executing various search phase steps of their secondary studies.
探索数字图书馆的自动搜索:系统审稿人的谨慎指南
检索阶段被认为是进行系统文献综述和制图研究等二次研究的最重要的步骤之一。近年来,数字图书馆和学术搜索引擎中的自动搜索已成为大多数软件工程相关二级研究中搜索阶段执行的首选方法。然而,目前尚无研究报告或评估这些电子数据源的二级研究相关搜索特征。我们对五个广泛使用的数字图书馆(IEEE Xplore, ACM DL, SpringerLink, ScienceDirect和Wiley)进行了基于特征分析(筛选模式)的评估,以支持二级研究的搜索阶段所需的各自特征。我们确定了总共68个与搜索相关的特征,并对其执行行为进行了全面的探索。总体工作为计划使用已识别的特征来执行其次要研究的各个搜索阶段步骤的系统审稿人提供了有用的谨慎指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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