Deakin University
Browse

File(s) under permanent embargo

A combination approach for enhancing automated traceability (NIER track)

conference contribution
posted on 2011-05-21, 00:00 authored by X Chen, J Hosking, John Grundy
Tracking a variety of traceability links between artifacts assists software developers in comprehension, efficient development, and effective management of a system. Traceability systems to date based on various Information Retrieval (IR) techniques have been faced with a major open research challenge: how to extract these links with both high precision and high recall. In this paper we describe an experimental approach that combines Regular Expression, Key Phrases, and Clustering with IR techniques to enhance the performance of IR for traceability link recovery between documents and source code. Our preliminary experimental results show that our combination technique improves the performance of IR, increases the precision of retrieved links, and recovers more true links than IR alone.

History

Event

Software Engineering. Conference (33rd : 2011 : Honolulu, Hawaii)

Pagination

912 - 915

Publisher

ACM

Location

Honolulu, Hawaii

Place of publication

New York, N.Y.

Start date

2011-05-21

End date

2011-05-28

ISSN

0270-5257

ISBN-13

9781450304450

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2011, ACM

Title of proceedings

ICSE 2011 : Proceedings of the Software Engineering 2011 International Conference