DocumentCode :
1934878
Title :
TraCter: A tool for candidate traceability link clustering
Author :
Mahmoud, Anas ; Niu, Nan
Author_Institution :
Comput. Sci. & Eng., Mississippi State Univ., Starkville, MS, USA
fYear :
2011
fDate :
Aug. 29 2011-Sept. 2 2011
Firstpage :
335
Lastpage :
336
Abstract :
Automated tracing tools employ information retrieval (IR) methods to recover traceability links between software artifacts. A large body of research is available on the back-end design of such tools, including artifacts indexing and the underlying IR mechanism. In contrast, less attention has been paid to the front-end presentation of the retrieved results. This paper describes TraCter, a result categorization tool with novel search user interfaces. We discuss the key features of TraCter and its potential improvements over previous work.
Keywords :
indexing; information retrieval; program diagnostics; user interfaces; IR mechanism; TraCter; artifact indexing; automated tracing tools; back-end design; candidate traceability link clustering; information retrieval method; result categorization tool; search user interfaces; software artifacts; Algorithm design and analysis; Clustering algorithms; Humans; Indexing; Information retrieval; Software; User interfaces; information retrieval; requirements; result categorization; search user interface; traceability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Requirements Engineering Conference (RE), 2011 19th IEEE International
Conference_Location :
Trento
ISSN :
1090-705X
Print_ISBN :
978-1-4577-0921-0
Electronic_ISBN :
1090-705X
Type :
conf
DOI :
10.1109/RE.2011.6051663
Filename :
6051663
Link To Document :
بازگشت