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Context Systematic Literature Reviews (SLRs) have been adopted within the Software Engineering (SE) domain for more than a decade to provide meaningful summaries of evidence on several topics. Many of these SLRs are now outdated, and there are no standard proposals on how to update SLRs in SE. Objective The goal of this paper is to provide recommendations on how to best to search for evidence when updating SLRs in SE. Method To achieve our goal, we compare and discuss outcomes from applying different search strategies to identifying primary studies in a previously published SLR update on effort estimation. Results The use of a single iteration forward snowballing with Google Scholar, and employing the original SLR and its primary studies as a seed set seems to be the most cost-effective way to search for new evidence when updating SLRs. Conclusions The recommendations can be used to support decisions on how to update SLRs in SE.
Mendes et al. (Thu,) studied this question.