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