Software verification and validation research laboratory (SVVRL) of the University of Kentucky: traceability challenge 2011: language translation

Authors:
Jane Huffman Hayes;Hakim Sultanov;Wei-Keat Kong;Wenbin Li
Affiliations:
University of Kentucky, Lexington, KY, USA;University of Kentucky, Lexington, KY, USA;University of Kentucky, Lexington, KY, USA;University of Kentucky, Lexington, KY, USA
Venue:
Proceedings of the 6th International Workshop on Traceability in Emerging Forms of Software Engineering
Year:
2011

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Abstract

We present the process and methods applied in undertaking the Traceability Challenge in addressing Grand Challenge C-GC1 - Trace recovery. The Information Retrieval methods implemented in REquirementsTRacing On target .NET (RETRO.NET) were applied to the tracing of the eTour and EasyClinic datasets. Our work focused on the nuances of native language (Italian, English). Datasets were augmented with additional terms derived from splitting function and variable names with Camel-Back notation and using the Google Translate API to translate Italian terms into English. Results based on the provided answer set show that the augmented datasets significantly improved recall and precision for one of the datasets.