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Crowdsource requirements engineering: Using online reviews as input to software features clustering

As to date, various software being produced to help in our daily routines. At times, there are complaints on errors or faults lodged by users over the internet. This information can be valuable for software development teams to enhance the software functionalities in the next releases. Not only...

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Main Authors: Bakar, Noor Hasrina, M. Kasirun, Zarinah, Salleh, Norsaremah, Halim, Azni H.
Format: Conference or Workshop Item
Language:English
English
Published: Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka 2017
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/62949/1/62949%20Crowdsource%20requirements%20engineering.pdf
http://irep.iium.edu.my/62949/2/62949%20Crowdsource%20requirements%20engineering%20SCOPUS.pdf
http://irep.iium.edu.my/62949/
http://journal.utem.edu.my/index.php/jtec/article/view/2891/2025
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spelling my.iium.irep.62949 http://irep.iium.edu.my/62949/ Crowdsource requirements engineering: Using online reviews as input to software features clustering Bakar, Noor Hasrina M. Kasirun, Zarinah Salleh, Norsaremah Halim, Azni H. T Technology (General) As to date, various software being produced to help in our daily routines. At times, there are complaints on errors or faults lodged by users over the internet. This information can be valuable for software development teams to enhance the software functionalities in the next releases. Not only that, these comments contain important software features that can be extracted and reuse for future development of similar software systems. Reviews provided by various user from unknown background is an example of open call involvement in crowdsource software engineering. In this paper, sample software reviews available in the internet were collected. In the experiment conducted, twenty-five groups of random software reviews within the domain of children online learning software were selected as input to crowdsource requirements engineering. T h e extracted reviews were then clustered into related groups by using K-Means algorithm. The clustering results achieved by K-Means were evaluated in terms of cluster compactness and cohesion. A statistically significant result with time efficiency obtained and reported at the end of this paper. Based on this information, this paper provides some recommendations on how user reviews can be used as input to the crowdsource requirements engineering either for improving existing software or for production of a new similar system Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka 2017 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/62949/1/62949%20Crowdsource%20requirements%20engineering.pdf application/pdf en http://irep.iium.edu.my/62949/2/62949%20Crowdsource%20requirements%20engineering%20SCOPUS.pdf Bakar, Noor Hasrina and M. Kasirun, Zarinah and Salleh, Norsaremah and Halim, Azni H. (2017) Crowdsource requirements engineering: Using online reviews as input to software features clustering. In: 10th Malaysian Software Engineering Conference (MySEC 2017), 7th-9th August 2017, Terengganu, Malaysia. http://journal.utem.edu.my/index.php/jtec/article/view/2891/2025
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Bakar, Noor Hasrina
M. Kasirun, Zarinah
Salleh, Norsaremah
Halim, Azni H.
Crowdsource requirements engineering: Using online reviews as input to software features clustering
description As to date, various software being produced to help in our daily routines. At times, there are complaints on errors or faults lodged by users over the internet. This information can be valuable for software development teams to enhance the software functionalities in the next releases. Not only that, these comments contain important software features that can be extracted and reuse for future development of similar software systems. Reviews provided by various user from unknown background is an example of open call involvement in crowdsource software engineering. In this paper, sample software reviews available in the internet were collected. In the experiment conducted, twenty-five groups of random software reviews within the domain of children online learning software were selected as input to crowdsource requirements engineering. T h e extracted reviews were then clustered into related groups by using K-Means algorithm. The clustering results achieved by K-Means were evaluated in terms of cluster compactness and cohesion. A statistically significant result with time efficiency obtained and reported at the end of this paper. Based on this information, this paper provides some recommendations on how user reviews can be used as input to the crowdsource requirements engineering either for improving existing software or for production of a new similar system
format Conference or Workshop Item
author Bakar, Noor Hasrina
M. Kasirun, Zarinah
Salleh, Norsaremah
Halim, Azni H.
author_facet Bakar, Noor Hasrina
M. Kasirun, Zarinah
Salleh, Norsaremah
Halim, Azni H.
author_sort Bakar, Noor Hasrina
title Crowdsource requirements engineering: Using online reviews as input to software features clustering
title_short Crowdsource requirements engineering: Using online reviews as input to software features clustering
title_full Crowdsource requirements engineering: Using online reviews as input to software features clustering
title_fullStr Crowdsource requirements engineering: Using online reviews as input to software features clustering
title_full_unstemmed Crowdsource requirements engineering: Using online reviews as input to software features clustering
title_sort crowdsource requirements engineering: using online reviews as input to software features clustering
publisher Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka
publishDate 2017
url http://irep.iium.edu.my/62949/1/62949%20Crowdsource%20requirements%20engineering.pdf
http://irep.iium.edu.my/62949/2/62949%20Crowdsource%20requirements%20engineering%20SCOPUS.pdf
http://irep.iium.edu.my/62949/
http://journal.utem.edu.my/index.php/jtec/article/view/2891/2025
_version_ 1643617105409474560
score 13.211869

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