StakeQP: a semi-automated stakeholder quantification and prioritisation technique for requirement selection in software system projects

Stakeholder quantification and prioritisation (SQP) is performed on the basis of the stakeholder's influence. The involvement of adequate stakeholders plays a crucial role in identifying and selecting the most essential requirements to produce a successful system. However, the current SQP techn...

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Main Authors: Hujainah, Fadhl, Rohani, Abu Bakar, Abdulgabber, Mansoor Abdullateef
Format: Article
Language:English
Published: Elsevier 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/25156/
http://umpir.ump.edu.my/id/eprint/25156/
http://umpir.ump.edu.my/id/eprint/25156/
http://umpir.ump.edu.my/id/eprint/25156/1/StakeQP%20-%20a%20semi-automated%20stakeholder%20quantification%20and%20prioritisation%20technique%20.pdf
id ump-25156
recordtype eprints
spelling ump-251562019-07-02T06:34:46Z http://umpir.ump.edu.my/id/eprint/25156/ StakeQP: a semi-automated stakeholder quantification and prioritisation technique for requirement selection in software system projects Hujainah, Fadhl Rohani, Abu Bakar Abdulgabber, Mansoor Abdullateef HD Industries. Land use. Labor QA Mathematics QA76 Computer software Stakeholder quantification and prioritisation (SQP) is performed on the basis of the stakeholder's influence. The involvement of adequate stakeholders plays a crucial role in identifying and selecting the most essential requirements to produce a successful system. However, the current SQP techniques still face serious limitations, such as having insufficient low-level implementation details, being time-consuming, lacking an automation level, heavily relying on professional expertise and having no attribute measurement criteria (AMC) for stakeholder evaluation. These key issues serve as the motivation of the present study. Hence, this study is aimed at proposing a new semi-automated technique called StakeQP to address the reported key limitations. StakeQP introduces new low-level implementation details to perform SQP automatically on the basis of the newly proposed AMC using the multi-attribute decision-making method, namely, the technique of order preference similarity to the ideal solution (TOPSIS), to achieve an efficient StakeQP. The effectiveness of StakeQP is evaluated using a benchmark dataset of the actual software project. The findings show that StakeQP can produce more accurate results with less time consumption and is more effective in addressing the defined key limitations compared with other alternative techniques. Elsevier 2019-06 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25156/1/StakeQP%20-%20a%20semi-automated%20stakeholder%20quantification%20and%20prioritisation%20technique%20.pdf Hujainah, Fadhl and Rohani, Abu Bakar and Abdulgabber, Mansoor Abdullateef (2019) StakeQP: a semi-automated stakeholder quantification and prioritisation technique for requirement selection in software system projects. Decision Support Systems, 121. pp. 94-108. ISSN 0167-9236 https://doi.org/10.1016/j.dss.2019.04.009 https://doi.org/10.1016/j.dss.2019.04.009
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic HD Industries. Land use. Labor
QA Mathematics
QA76 Computer software
spellingShingle HD Industries. Land use. Labor
QA Mathematics
QA76 Computer software
Hujainah, Fadhl
Rohani, Abu Bakar
Abdulgabber, Mansoor Abdullateef
StakeQP: a semi-automated stakeholder quantification and prioritisation technique for requirement selection in software system projects
description Stakeholder quantification and prioritisation (SQP) is performed on the basis of the stakeholder's influence. The involvement of adequate stakeholders plays a crucial role in identifying and selecting the most essential requirements to produce a successful system. However, the current SQP techniques still face serious limitations, such as having insufficient low-level implementation details, being time-consuming, lacking an automation level, heavily relying on professional expertise and having no attribute measurement criteria (AMC) for stakeholder evaluation. These key issues serve as the motivation of the present study. Hence, this study is aimed at proposing a new semi-automated technique called StakeQP to address the reported key limitations. StakeQP introduces new low-level implementation details to perform SQP automatically on the basis of the newly proposed AMC using the multi-attribute decision-making method, namely, the technique of order preference similarity to the ideal solution (TOPSIS), to achieve an efficient StakeQP. The effectiveness of StakeQP is evaluated using a benchmark dataset of the actual software project. The findings show that StakeQP can produce more accurate results with less time consumption and is more effective in addressing the defined key limitations compared with other alternative techniques.
format Article
author Hujainah, Fadhl
Rohani, Abu Bakar
Abdulgabber, Mansoor Abdullateef
author_facet Hujainah, Fadhl
Rohani, Abu Bakar
Abdulgabber, Mansoor Abdullateef
author_sort Hujainah, Fadhl
title StakeQP: a semi-automated stakeholder quantification and prioritisation technique for requirement selection in software system projects
title_short StakeQP: a semi-automated stakeholder quantification and prioritisation technique for requirement selection in software system projects
title_full StakeQP: a semi-automated stakeholder quantification and prioritisation technique for requirement selection in software system projects
title_fullStr StakeQP: a semi-automated stakeholder quantification and prioritisation technique for requirement selection in software system projects
title_full_unstemmed StakeQP: a semi-automated stakeholder quantification and prioritisation technique for requirement selection in software system projects
title_sort stakeqp: a semi-automated stakeholder quantification and prioritisation technique for requirement selection in software system projects
publisher Elsevier
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/25156/
http://umpir.ump.edu.my/id/eprint/25156/
http://umpir.ump.edu.my/id/eprint/25156/
http://umpir.ump.edu.my/id/eprint/25156/1/StakeQP%20-%20a%20semi-automated%20stakeholder%20quantification%20and%20prioritisation%20technique%20.pdf
first_indexed 2023-09-18T22:38:29Z
last_indexed 2023-09-18T22:38:29Z
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