为系统评价开发相关实验检测的搜索策略

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 2007-09-20 DOI:10.1109/ESEM.2007.39

Ó. Dieste, O.A.G. Padua

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引用次数: 94

摘要

信息检索是任何循证学科中的重要问题。尽管基于证据的软件工程(EBSE)不能幸免于这个事实，但这个问题还没有被详细地研究过。本文的目的是分析在系统评价中使用的搜索策略的最优性。我们使用不同的术语和术语组合尝试了29种搜索策略。我们评估了它们的灵敏度和精度，以期找到一个最佳的策略。从这项搜索策略的研究中，我们能够分析报道实验的文章中术语使用的趋势和弱点。

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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Developing Search Strategies for Detecting Relevant Experiments for Systematic Reviews

Information retrieval is an important problem in any evidence-based discipline. Although evidence- based software engineering (EBSE) is not immune to this fact, this question has not been examined at length. The goal of this paper is to analyse the optimality of search strategies for use in systematic reviews. We tried out 29 search strategies using different terms and combinations of terms. We evaluated their sensitivity and precision with a view to finding an optimum strategy. From this study of search strategies we were able to analyse trends and weaknesses in terminology use in articles reporting experiments.

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First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)

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