Successful Combination of Database Search and Snowballing for Identification of Primary Studies in Systematic Literature Studies
Claes Wohlin, Marcos Kalinowski, Katia Romero Felizardo, Emilia Mendes

TL;DR
This paper demonstrates that combining database searches with snowballing in a hybrid strategy significantly improves the identification of relevant primary studies in systematic literature reviews, especially in software engineering.
Contribution
It introduces a hybrid search strategy that outperforms traditional methods and proposes new concepts of wild cards and borderline articles to reduce missed relevant studies.
Findings
Hybrid search identified 30% more primary studies.
Hybrid approach is more cost-effective.
New concepts help minimize missed relevant studies.
Abstract
Background: A good search strategy is essential for a successful systematic literature study. Historically, database searches have been the norm, which has later been complemented with snowball searches. Our conjecture is that we can perform even better searches if combining the two search approaches, referred to as a hybrid search strategy. Objective: Our main objective was to compare and evaluate a hybrid search strategy. Furthermore, we compared some alternative hybrid search strategies to assess whether it was possible to identify more cost-efficient ways of searching for relevant primary studies. Method: To compare and evaluate the hybrid search strategy, we replicated an SLR on industry-academia collaboration in software engineering. The SLR used a more traditional approach to searching for relevant articles for an SLR, while the replication was conducted using a hybrid search…
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