DocumentCode
1634280
Title
Foundations for an expert system in domain-specific traceability
Author
Jin Guo ; Cleland-Huang, Jane ; Berenbach, Brian
Author_Institution
Sch. of Comput., DePaul Univ., Chicago, IL, USA
fYear
2013
Firstpage
42
Lastpage
51
Abstract
Attempts to utilize information retrieval techniques to fully automate the creation of traceability links have been hindered by terminology mismatches between source and target artifacts. Therefore, current trace retrieval algorithms tend to produce imprecise and incomplete results. In this paper we address this mismatch by proposing an expert system which integrates a knowledge base of domain concepts and their relationships, a set of logic rules for defining relationships between artifacts based on these rules, and a process for mapping artifacts into a structure against which the rules can be applied. This paper lays down the core foundations needed to integrate an expert system into the automated tracing process. We construct a knowledge base and inference rules for part of a large industrial project in the transportation domain and empirically show that our approach significantly improves precision and recall of the generated trace links.
Keywords
automotive engineering; expert systems; inference mechanisms; information retrieval; program diagnostics; artifact mapping; automated tracing process; domain concepts; domain-specific traceability; expert system; industrial project; inference rules; information retrieval techniques; knowledge base; traceability links; transportation domain; Automobiles; DH-HEMTs; Expert systems; Pragmatics; Roads; Vocabulary; logic; requirements traceability; rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Requirements Engineering Conference (RE), 2013 21st IEEE International
Conference_Location
Rio de Janeiro
Type
conf
DOI
10.1109/RE.2013.6636704
Filename
6636704
Link To Document