DocumentCode
3722223
Title
Terms Extractions: An Approach for Requirements Reuse
Author
Noor Hasrina Bakar;Zarinah M. Kasirun;Norsaremah Salleh
Author_Institution
Dept. of Software Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
fYear
2015
Firstpage
1
Lastpage
4
Abstract
This paper presents a solution to a requirements reuse problem that utilises natural language processing and information retrieval technique. We proposed a semi-automated approach to extract the software features from online software review to assist the process to reuse natural language requirements. We have conducted an experiment to compare the manual feature extraction versus the semi-automated feature extraction. We used compilations of software review from the Internet as a source of this extraction process. The extracted software features are compared against the features obtained manually by human and the evaluation results obtained in terms of time, precision, recall, and F-Measure indicate a promising result.
Keywords
"Feature extraction","Software","Manuals","Data mining","Software reviews","Requirements engineering","Natural languages"
Publisher
ieee
Conference_Titel
Information Science and Security (ICISS), 2015 2nd International Conference on
Type
conf
DOI
10.1109/ICISSEC.2015.7371034
Filename
7371034
Link To Document