A rule-based approach for discovering effective software team composition
Human aspects in software engineering play a key role in composing effective team members.However, to date there is no general consensus on the effective personality types and diversity based on software team roles.Thus, this paper aims to discover the effective personality types and diversity based...
| Հիմնական հեղինակներ: | , , |
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| Ձևաչափ: | Հոդված |
| Լեզու: | English |
| Հրապարակվել է: |
Universiti Utara Malaysia
2014
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| Խորագրեր: | |
| Առցանց հասանելիություն: | https://repo.uum.edu.my/id/eprint/13794/1/1jict2014.pdf |
| _version_ | 1825803250982453248 |
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| author | Gilal, Abdul Rehman Omar, Mazni Mohd Sharif, Kamal Imran |
| author_facet | Gilal, Abdul Rehman Omar, Mazni Mohd Sharif, Kamal Imran |
| author_sort | Gilal, Abdul Rehman |
| collection | UUM |
| description | Human aspects in software engineering play a key role in composing effective team members.However, to date there is no general consensus on the effective personality types and diversity based on software team roles.Thus, this paper aims to discover the effective personality types and diversity based on two software team roles – team leader and programmer by using a rule-based approach.The rule-based approach by employing the rough set technique was used to discover patterns of the data selected.In this study, four main steps were involved to discover the patterns – reduct generation rules, rules generation, rules filtering, and rules evaluation.The results show that the rules generated achieved acceptable prediction accuracy with more than 70 per cent accuracy.In addition, the ROC value achieved 0.65, which indicates the rule-based model is valid and useful.The results reveal that the extrovert personality type is dominant for both software team roles and a homogeneous or heterogeneous team plays an equal role to determine an effective team.This study provides useful rules for decision makers to understand and get insight into selecting effective team members that lead to producing high quality software. |
| first_indexed | 2024-07-04T05:53:48Z |
| format | Article |
| id | uum-13794 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:53:48Z |
| publishDate | 2014 |
| publisher | Universiti Utara Malaysia |
| record_format | eprints |
| spelling | uum-137942017-07-13T01:41:47Z https://repo.uum.edu.my/id/eprint/13794/ A rule-based approach for discovering effective software team composition Gilal, Abdul Rehman Omar, Mazni Mohd Sharif, Kamal Imran QA76 Computer software Human aspects in software engineering play a key role in composing effective team members.However, to date there is no general consensus on the effective personality types and diversity based on software team roles.Thus, this paper aims to discover the effective personality types and diversity based on two software team roles – team leader and programmer by using a rule-based approach.The rule-based approach by employing the rough set technique was used to discover patterns of the data selected.In this study, four main steps were involved to discover the patterns – reduct generation rules, rules generation, rules filtering, and rules evaluation.The results show that the rules generated achieved acceptable prediction accuracy with more than 70 per cent accuracy.In addition, the ROC value achieved 0.65, which indicates the rule-based model is valid and useful.The results reveal that the extrovert personality type is dominant for both software team roles and a homogeneous or heterogeneous team plays an equal role to determine an effective team.This study provides useful rules for decision makers to understand and get insight into selecting effective team members that lead to producing high quality software. Universiti Utara Malaysia 2014 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13794/1/1jict2014.pdf Gilal, Abdul Rehman and Omar, Mazni and Mohd Sharif, Kamal Imran (2014) A rule-based approach for discovering effective software team composition. Journal of Information and Communication Technology (JICT), 13. pp. 1-20. ISSN 1675-414X http://jict.uum.edu.my/index.php/currentissues/viewdownload/21-jict-vol-13-2014/660-a-rule-based-approach-for-discovering-effective-software-team-composition |
| spellingShingle | QA76 Computer software Gilal, Abdul Rehman Omar, Mazni Mohd Sharif, Kamal Imran A rule-based approach for discovering effective software team composition |
| title | A rule-based approach for discovering effective software team composition |
| title_full | A rule-based approach for discovering effective software team composition |
| title_fullStr | A rule-based approach for discovering effective software team composition |
| title_full_unstemmed | A rule-based approach for discovering effective software team composition |
| title_short | A rule-based approach for discovering effective software team composition |
| title_sort | rule based approach for discovering effective software team composition |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/13794/1/1jict2014.pdf |
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