Towards mining replacement queries for hard-to-retrieve traces

Abstract

Automated trace retrieval methods can significantly reduce the cost and effort needed to create and maintain requirements traces. However, the set of generated traces is generally quite imprecise and must be manually evaluated by analysts. In applied settings when the retrieval algorithm is unable to find the relevant links for a given query, a human user… (More)
DOI: 10.1145/1858996.1859046

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