@inproceedings{72c954db248b413fbd840cfa5c2ced26,
title = "Traceability challenge 2013: Query+enhancement for Semantic Tracing (QuEST): Software verification and validation research laboratory (SVVRL) of the University of Kentucky",
abstract = "We present the process and methods applied in undertaking the Traceability Challenge in addressing the Ubiquitous Grand Challenge, Research Project 3. Terms contained within queries (along with document collection terms, hence the {"}+{"}) have been enhanced to include semantic tags that indicate whether a term represents an action or an agent. This information is obtained by calling the Senna semantic role labeling tool. The standard TF-IDF component in TraceLab is then used to recover trace links. The QuEST method was applied to four datasets. Results based on the provided answer sets show that QuEST improved Mean Average Precision (MAP) for two artifact pairs of two of the datasets when the artifacts used natural language, but generally did not outperform unaugmented datasets not using natural language. We provide insights on this finding.",
keywords = "Challenge, Research Project 2, Semantics, Trace Recovery, Traceability, Ubiquitous, Ubiquitous Grand Challenge",
author = "Wenbin Li and Hayes, \{Jane Huffman\}",
year = "2013",
doi = "10.1109/TEFSE.2013.6620162",
language = "English",
isbn = "9781479904952",
series = "2013 7th International Workshop on Traceability in Emerging Forms of Software Engineering, TEFSE 2013 - Proceedings",
pages = "95--99",
booktitle = "2013 7th International Workshop on Traceability in Emerging Forms of Software Engineering, TEFSE 2013 - Proceedings",
note = "2013 7th International Workshop on Traceability in Emerging Forms of Software Engineering, TEFSE 2013 ; Conference date: 19-05-2013 Through 19-05-2013",
}