Context: A tertiary study can be performed to identify related reviews on a topic of interest. However, the elaboration of an appropriate and effective search string to detect secondary studies is challenging for Software Engineering (SE) researchers. Objective: The main goal of this study is to propose a suitable search string to detect secondary studies in SE, addressing issues such as the quantity of applied terms, relevance, recall and precision. Method: We analyzed seven tertiary studies under two perspectives: (1) structure -- strings' terms to detect secondary studies; and (2) field: where searching -- titles alone or abstracts alone or titles and abstracts together, among others. We validate our string by performing a two-step validation process. Firstly, we evaluated the capability to retrieve secondary studies over a set of 1537 secondary studies included in 24 tertiary studies in SE. Secondly, we evaluated the general capacity of retrieving secondary studies over an automated search using the Scopus digital library. Results: Our string was capable to retrieve an optimum value of over 90\% of the included secondary studies (recall) with a high general precision of almost 60\%. Conclusion: The suitable search string for finding secondary studies in SE contains the terms "systematic review", "literature review", "systematic mapping", "mapping study" and "systematic map".

翻译：目标:本研究的主要目的是提出一个适当的搜索字符串,以探测SE工程(SE)的二级研究,解决应用术语的数量、相关性、召回性和精确性等问题。方法:我们从两个角度分析了七项高等教育研究:(1) 结构 -- -- 字符术语,以探测二级研究;(2) 领域:单独搜索 -- -- 标题或摘要,或标题和摘要,等等。我们通过进行两步验证过程来验证我们的字符串。首先,我们评估了利用Scopus数字图书馆进行自动搜索的一套1537次次级研究检索二级研究的能力。结果:我们从两个角度分析了七项高等教育研究:(1) 结构 -- -- 字符术语,以探测二级研究;以及(2) 领域:通过进行两步验证过程来验证我们的字符串。首先,我们评估了在SE的24个三级研究中的一套1537次次级研究中检索二级研究的能力。第二,我们评估了在使用Scopus数字图书馆进行自动搜索时进行二次研究的一般能力。结果:我们的字符串能够检索所包括的次级研究(回顾)90多至近60 ⁇ 的高度一般精确性。结论:在Segraphyal-graphyal审查中查找二级研究的适当搜索字符串,在SEmagraphismatigraphy