How good are my search strings? Reflections on using an existing review as a quasi-gold standard

Fuente: arXiv
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Autores principales: Tran, Huynh Khanh Vi, Börstler, Jürgen, Ali, Nauman Bin, Unterkalmsteiner, Michael
Formato: Preprint
Publicado: 2024
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author Tran, Huynh Khanh Vi
Börstler, Jürgen
Ali, Nauman Bin
Unterkalmsteiner, Michael
author_facet Tran, Huynh Khanh Vi
Börstler, Jürgen
Ali, Nauman Bin
Unterkalmsteiner, Michael
contents Background: Systematic literature studies (SLS) have become a core research methodology in Evidence-based Software Engineering (EBSE). Search completeness, ie, finding all relevant papers on the topic of interest, has been recognized as one of the most commonly discussed validity issues of SLSs. Aim: This study aims at raising awareness on the issues related to search string construction and on search validation using a quasi-gold standard (QGS). Furthermore, we aim at providing guidelines for search string validation. Method: We use a recently completed tertiary study as a case and complement our findings with the observations from other researchers studying and advancing EBSE. Results: We found that the issue of assessing QGS quality has not seen much attention in the literature, and the validation of automated searches in SLSs could be improved. Hence, we propose to extend the current search validation approach by the additional analysis step of the automated search validation results and provide recommendations for the QGS construction. Conclusion: In this paper, we report on new issues which could affect search completeness in SLSs. Furthermore, the proposed guideline and recommendations could help researchers implement a more reliable search strategy in their SLSs.
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id arxiv_https___arxiv_org_abs_2402_11041
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle How good are my search strings? Reflections on using an existing review as a quasi-gold standard
Tran, Huynh Khanh Vi
Börstler, Jürgen
Ali, Nauman Bin
Unterkalmsteiner, Michael
Software Engineering
Background: Systematic literature studies (SLS) have become a core research methodology in Evidence-based Software Engineering (EBSE). Search completeness, ie, finding all relevant papers on the topic of interest, has been recognized as one of the most commonly discussed validity issues of SLSs. Aim: This study aims at raising awareness on the issues related to search string construction and on search validation using a quasi-gold standard (QGS). Furthermore, we aim at providing guidelines for search string validation. Method: We use a recently completed tertiary study as a case and complement our findings with the observations from other researchers studying and advancing EBSE. Results: We found that the issue of assessing QGS quality has not seen much attention in the literature, and the validation of automated searches in SLSs could be improved. Hence, we propose to extend the current search validation approach by the additional analysis step of the automated search validation results and provide recommendations for the QGS construction. Conclusion: In this paper, we report on new issues which could affect search completeness in SLSs. Furthermore, the proposed guideline and recommendations could help researchers implement a more reliable search strategy in their SLSs.
title How good are my search strings? Reflections on using an existing review as a quasi-gold standard
topic Software Engineering
url https://arxiv.org/abs/2402.11041