Automated Support for Searching and Selecting Evidence in Software Engineering: A Cross-domain Systematic Mapping

Bianca Minetto Napoleao, Fabio Petrillo, Sylvain Halle
2021 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 and
more » ... lect evidence for secondary studies in SE, expanding our investigation in a cross-domain study addressing advancements from the medical field. Results: Our results show that the SE field has a variety of tools and Text Classification (TC) approaches to automate the search and selection activities. However, medicine has more well-established tools with a larger adoption than SE. Cross-validation and experiment are the most adopted methods to assess TC approaches. Furthermore, recall and precision are the most adopted assessment metrics. Conclusion: Automated approaches for searching and selecting studies in SE have not been applied in practice by SE researchers. Integrated and easy-to-use automated approaches addressing consolidated TC techniques can bring relevant advantages on workload and time saving for SE researchers who conduct secondary studies.
doi:10.1109/seaa53835.2021.00015 fatcat:77gidpd63jbsxb4o4yyf7s7vuu