Assessing expert system-assisted literature reviews with a case study
作者：
Highlights：
• First paper reporting a literature review assisted by FAST2.
• FAST2 saved 50 man-hours of human effort while missing 10% relevant papers.
• The missing papers do not change the conclusions of the literature review.
• FAST2 imposed a bias onto the distribution of the included papers.
• The literature review process was scripted online for reproduction and experiments.
摘要
•First paper reporting a literature review assisted by FAST2.•FAST2 saved 50 man-hours of human effort while missing 10% relevant papers.•The missing papers do not change the conclusions of the literature review.•FAST2 imposed a bias onto the distribution of the included papers.•The literature review process was scripted online for reproduction and experiments.
论文关键词：Systematic literature review,Expert systems,Software engineering,Active learning,Primary study selection,Test case prioritization
论文评审过程：Received 3 May 2020, Revised 10 October 2020, Accepted 19 March 2022, Available online 1 April 2022, Version of Record 7 April 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116958
