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Scaling requirements extraction to the crowd: Experiments with privacy policies
2014
2014 IEEE 22nd International Requirements Engineering Conference (RE)
Natural language text sources have increasingly been used to develop new methods and tools for extracting and analyzing requirements. To validate these new approaches, researchers rely on a small number of trained experts to perform a labor-intensive manual analysis of the text. The time and resources needed to conduct manual extraction, however, has limited the size of case studies and thus the generalizability of results. To begin to address this issue, we conducted three experiments to
doi:10.1109/re.2014.6912258
dblp:conf/re/BreauxS14
fatcat:j2h7l3bz2fbajmopapgqfsmirm