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We are designing an automated technique to find and recommend experts forhelping in Requirements Engineering tasks, which can be done by ranking theavailable people by level of expertise. For evaluating the correctness of therankings produced by the automated technique, we want to compare them to a goldstandard. In this work, we ask external people to look at a set of discussionsand to rank their participants, before to evaluate the reliability of theserankings to serve as a gold standard. We describe the setting and running ofthis survey, the method used to build the gold standard from the rankings ofthe subjects, and the analysis of the results to obtain and validate this goldstandard. Through the analysis of the results, we conclude that we obtained areasonable gold standard although we lack evidences to support its totalcorrectness. We also made the interesting observation that the most reliablesubjects build the least ordered rankings (i.e. has few ranks with severalpeople per rank), which goes against the usual assumptions of InformationRetrieval measures.

Gold Standard for Expert Ranking: A Survey on the XWiki Dataset