A tracelab-based solution for identifying traceability links using LSI

Author

Alhindawi, Nouh ; Meqdadi, Omar ; Bartman, Brian ; Maletic, Jonathan I.

Author_Institution

Dept. of Comput. Sci., Kent State Univ., Kent, OH, USA

fYear

2013

fDate

19-19 May 2013

Firstpage

79

Lastpage

82

Abstract

An information retrieval technique, latent semantic indexing (LSI), is used to automatically identify traceability links from system documentation to program source code. The experiment is performed in the TraceLab framework. The solution provides templates and components for building and querying LSI space and datasets (corpora) that can be used as inputs for these components. The proposed solution is evaluated on traceability links already discovered by mining adaptive commits of the open source system KDE/Koffice. The results show that the approach can identify of traceability links with high precision using TraceLab components.

Keywords

data mining; indexing; information retrieval; program diagnostics; public domain software; source coding; system documentation; KDE; Koffice; LSI; TraceLab-based solution; adaptive commit mining; automatic traceability link identification; information retrieval technique; latent semantic indexing; open source system; program source code; system documentation; Adaptive systems; Data mining; Dictionaries; Documentation; Educational institutions; Large scale integration; Vocabulary; Adaptive Changes; Information Retrieval; TraceLab; Traceability links;

fLanguage

English

Publisher

ieee

Conference_Titel

Traceability in Emerging Forms of Software Engineering (TEFSE), 2013 International Workshop on

Conference_Location

San Francisco, CA

Type

conf

DOI

10.1109/TEFSE.2013.6620159

Filename

6620159