Reference-based search strategies in systematic reviews
Open accessAbstract
In systematic reviews, the number of articles found by search strings tend to be very large. In order to limit the number of articles to handle manually, we investigate a search strategy based on references between papers. We first identify a “take-off paper” which is the starting point for the search and then we follow the references from that paper. We also investigate “cardinal papers”, i.e. papers that are referenced by many authors, and let the references to those papers guide the selection in the systematic review. We evaluate the search strategies on three published systematic reviews. The results vary greatly between the three studied systematic reviews, from 88% reduction to 92% extension of the original paper set.
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Despite that the proposed method increased the precision without missing too many relevant papers for the technically focused reviews, its results were not satisfactory when the search area was wide or the searches included general terms.
“Despite that the proposed method increased the precision without missing too many relevant papers for the technically focused reviews, its results were not satisfactory when the search area was wide or the searches included general terms.”
From Guidelines for snowballing in systematic literature studies and a replication in software engineering (2014) · cites this paper as [16]
The Conclusions report increased precision without much loss of recall for the technically focused regression-testing review, but unsatisfactory results for the more general agile-methods review and the review of experiments. The paper does not specifically say that including general search terms caused the unsatisfactory results; it points instead to the many and diverse references to agile methods. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSkoglund and Runeson studied a reference-based search approach with the primary objective to reduce the number of initial articles found in systematic literature studies.
“Skoglund and Runeson [16] studied a reference-based search approach with the primary objective to reduce the number of initial articles found in systematic literature studies.”
From Guidelines for snowballing in systematic literature studies and a replication in software engineering (2014) · cites this paper as [16]
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Cites
Empirical studies of agile software development: A systematic review
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Flagged first, then by citations
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Cited by
Sorted by citations
Wohlin, C. (2014) · Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering · doi:10.1145/2601248.2601268 · Cited by 4,234 · see citing works
A systematic review of systematic review process research in software engineering
Kitchenham, B., & Brereton, P. (2013) · Information and Software Technology · doi:10.1016/j.infsof.2013.07.010 · Cited by 1,094 · see citing works
Mourão, E., Pimentel, J. F., Murta, L., Kalinowski, M., Mendes, E., & Wohlin, C. (2020) · Information and Software Technology · doi:10.1016/j.infsof.2020.106294 · Cited by 191 · see citing works
Systematic literature reviews in software engineering
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A Machine Learning Approach for Semi-Automated Search and Selection in Literature Studies
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Self-citationA visual analysis approach to validate the selection review of primary studies in systematic reviews
Felizardo, K. R., Andery, G. F., Paulovich, F. V., Minghim, R., & Maldonado, J. C. (2012) · Information and Software Technology · doi:10.1016/j.infsof.2012.04.003 · Cited by 60 · see citing works
- Authors
- Skoglund, M., & Runeson, P.
- Affiliations
- Lund University (SE)
- ORCID
- Runeson, Per
- Venue
- Electronic Workshops in Computing
- Publisher
- BCS Learning & Development
- Published
- 2009
- ISSN
- 1477-9358 (ISSN-L)
- OpenAlex
- W1741569902
- Cited by
- 71
- References
- 3
- Citations by year
- 2025: 4 · 2024: 6 · 2022: 4 · 2021: 5 · 2020: 2 · 2018: 6 · 2017: 1 · 2016: 3 · 2015: 7 · 2014: 3 · 2013: 6 · 2012: 19
- FWCI
- 0.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Electronic workshops in computing (publishedVersion, cc-by)
- Lund University Publications (Lund University) (submittedVersion, other-oa)
- Funders
- VINNOVA
- Vetenskapsrådet
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- systematic reviews, citation analysis, literature searching, bibliometric indicators
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