Paper Info
Title
TiQi: Towards natural language trace queries
Abstract
One of the surprising observations of traceability in practice is the under-utilization of existing trace links. Organizations often create links in order to meet compliance requirements, but then fail to capitalize on the potential benefits of those links to provide support for activities such as impact analysis, test regression selection, and coverage analysis. One of the major adoption barriers is caused by the lack of accessibility to the underlying trace data and the lack of skills many project stakeholders have for formulating complex trace queries. To address these challenges we introduce TiQi, a natural language approach, which allows users to write or speak trace queries in their own words. TiQi includes a vocabulary and associated grammar learned from analyzing NL queries collected from trace practitioners. It is evaluated against trace queries gathered from trace practitioners for two different project environments.
Year
DOI
Venue
2014
10.1109/RE.2014.6912254
RE
Keywords
DocType
ISSN
Traceability,Queries,TiQi,Natural Language Processing,regression analysis,coverage analysis,trace links,compliance requirements,trace data,test regression selection,natural language approach,natural language trace queries,associated grammar,impact analysis,grammars,natural language processing,organizations,Speech Recognition,query processing
Conference
2332-6441
Citations 
PageRank 
References 
2
0.37
0
Authors
7
Name
Order
Citations
PageRank
Piotr Pruski170.80
Sugandha Lohar2533.41
Rundale Aquanette320.37
Greg Ott420.37
Sorawit Amornborvornwong5481.94
Alexander Rasin62950209.48
Jane Cleland-Huang72204139.78