Comment on “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering”
The author comment on the paper “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering” by Mughal <italic>et al.</italic>, and point out that the technique can be subsequently improved by focusing on three major areas: (a) dif...
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doaj-4f6c319632784846ae387df01c9aad0d2021-06-18T23:00:09ZengIEEEIEEE Access2169-35362021-01-019617526175510.1109/ACCESS.2021.30733799405632Comment on “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering”Varun Gupta0https://orcid.org/0000-0003-2824-3402Centro de Competências em Cloud Computing (C4-UBI), Universidade da Beira Interior, Covilhã, PortugalThe author comment on the paper “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering” by Mughal <italic>et al.</italic>, and point out that the technique can be subsequently improved by focusing on three major areas: (a) differential treatment of crowd of users; (b) ranking of requirements (i.e., determining the importance of the requirements for different stakeholders) based on analysis of social interactions among stakeholders on Facebook; and (c) extension as well as improvement in result validations by improving effectiveness calculation and including scalability as one of the efficiency metrics. Scalability will influence both effectiveness as well as efficiency of the proposed technique.https://ieeexplore.ieee.org/document/9405632/User crowdsocial media social interactionsscalabilityrequirement prioritizationeffectivenessefficiency |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Varun Gupta |
spellingShingle |
Varun Gupta Comment on “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering” IEEE Access User crowd social media social interactions scalability requirement prioritization effectiveness efficiency |
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Varun Gupta |
author_sort |
Varun Gupta |
title |
Comment on “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering” |
title_short |
Comment on “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering” |
title_full |
Comment on “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering” |
title_fullStr |
Comment on “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering” |
title_full_unstemmed |
Comment on “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering” |
title_sort |
comment on “a social network based process to minimize in-group biasedness during requirement engineering” |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
The author comment on the paper “A Social Network Based Process to Minimize In-Group Biasedness During Requirement Engineering” by Mughal <italic>et al.</italic>, and point out that the technique can be subsequently improved by focusing on three major areas: (a) differential treatment of crowd of users; (b) ranking of requirements (i.e., determining the importance of the requirements for different stakeholders) based on analysis of social interactions among stakeholders on Facebook; and (c) extension as well as improvement in result validations by improving effectiveness calculation and including scalability as one of the efficiency metrics. Scalability will influence both effectiveness as well as efficiency of the proposed technique. |
topic |
User crowd social media social interactions scalability requirement prioritization effectiveness efficiency |
url |
https://ieeexplore.ieee.org/document/9405632/ |
work_keys_str_mv |
AT varungupta commentonx201casocialnetworkbasedprocesstominimizeingroupbiasednessduringrequirementengineeringx201d |
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1721372598787375104 |