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2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
Searching and selecting relevant evidence is crucial to answer research questions from secondary studies in Software Engineering (SE). The activities of search and selection of studies are labour-intensive, time-consuming and demand automation support. Objective: Our goal is to identify and summarize the state-of-the-art on automation support for searching and selecting evidence for secondary studies in SE. Method: We performed a systematic mapping on existing automating support to search anddoi:10.1109/seaa53835.2021.00015 fatcat:77gidpd63jbsxb4o4yyf7s7vuu