Software engineering in an effective collaborative environment: An evaluative study on crowdsourcing platforms

Crowdsourcing gathers the world�s software engineering experts on a specific subject matter, and allows organisations and individuals to employ the combined effort of these �experts� to accomplish the software task at hand. However, leveraging the knowledge of experts will not be achieved without on...

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Main Authors: Al-Bloush H., Solemon B.
Other Authors: 57202730711
Format: Article
Published: Universiti Putra Malaysia Press 2023
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spelling my.uniten.dspace-231022023-05-29T14:37:46Z Software engineering in an effective collaborative environment: An evaluative study on crowdsourcing platforms Al-Bloush H. Solemon B. 57202730711 24832320000 Crowdsourcing gathers the world�s software engineering experts on a specific subject matter, and allows organisations and individuals to employ the combined effort of these �experts� to accomplish the software task at hand. However, leveraging the knowledge of experts will not be achieved without online crowdsourcing platforms, which makes communication possible. This study intends to evaluate the performance of four Crowdsourced Software Engineering(CSE) platforms (TopCoder, InnoCentive, AMT and Upwork) based on the criteria of the Web of System Performance (WOSP) model. The WOSP criteria include functionality, usability, security, extendibility, reliability, flexibility, connectivity and privacy. Findings from the analyses showed that the four CSE platforms vary in all of their features, and at the same time, they all lack the requirements of flexibility. The results provide insight into the current status of CSE platforms and highlight the gaps inherent in these platforms while offering a more complete picture. This study contributes to work on enhancing the design of current and future platforms. � 2017 Universiti Putra Malaysia Press. Final 2023-05-29T06:37:46Z 2023-05-29T06:37:46Z 2017 Article 2-s2.0-85049130094 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049130094&partnerID=40&md5=99f14fb1519f9a88dac8ae287a1cbd7d https://irepository.uniten.edu.my/handle/123456789/23102 25 S10 27 38 Universiti Putra Malaysia Press Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Crowdsourcing gathers the world�s software engineering experts on a specific subject matter, and allows organisations and individuals to employ the combined effort of these �experts� to accomplish the software task at hand. However, leveraging the knowledge of experts will not be achieved without online crowdsourcing platforms, which makes communication possible. This study intends to evaluate the performance of four Crowdsourced Software Engineering(CSE) platforms (TopCoder, InnoCentive, AMT and Upwork) based on the criteria of the Web of System Performance (WOSP) model. The WOSP criteria include functionality, usability, security, extendibility, reliability, flexibility, connectivity and privacy. Findings from the analyses showed that the four CSE platforms vary in all of their features, and at the same time, they all lack the requirements of flexibility. The results provide insight into the current status of CSE platforms and highlight the gaps inherent in these platforms while offering a more complete picture. This study contributes to work on enhancing the design of current and future platforms. � 2017 Universiti Putra Malaysia Press.
author2 57202730711
author_facet 57202730711
Al-Bloush H.
Solemon B.
format Article
author Al-Bloush H.
Solemon B.
spellingShingle Al-Bloush H.
Solemon B.
Software engineering in an effective collaborative environment: An evaluative study on crowdsourcing platforms
author_sort Al-Bloush H.
title Software engineering in an effective collaborative environment: An evaluative study on crowdsourcing platforms
title_short Software engineering in an effective collaborative environment: An evaluative study on crowdsourcing platforms
title_full Software engineering in an effective collaborative environment: An evaluative study on crowdsourcing platforms
title_fullStr Software engineering in an effective collaborative environment: An evaluative study on crowdsourcing platforms
title_full_unstemmed Software engineering in an effective collaborative environment: An evaluative study on crowdsourcing platforms
title_sort software engineering in an effective collaborative environment: an evaluative study on crowdsourcing platforms
publisher Universiti Putra Malaysia Press
publishDate 2023
_version_ 1806423547498725376
score 13.211869