IIUM Repository

Predicting most productive requirements elicitation teams using MBTI personality traits model

Iqbal, M. Aqeel and Shah, Asadullah and Karamat Khan, Tehmina (2019) Predicting most productive requirements elicitation teams using MBTI personality traits model. International Journal of Engineering and Advanced Technology (IJEAT), 9 (1). pp. 3809-3814. ISSN 2249-8958

[img]
Preview
PDF - Published Version
Download (754kB) | Preview
[img]
Preview
PDF (SCOPUS) - Supplemental Material
Download (227kB) | Preview

Abstract

The social and collaborative nature of requirements elicitation process bases its core dependency on aptitude, attitudes, and personality characteristics of its participants. The participant's personality characteristics are directly related with their personality traits, which can be categorized using different model has been used successfully for the assessments of personality of software engineers since last few decades. In this article, the personality traits for requirements elicitation teams have been predicted using MBTI personality assessments model, on the basis of their industry demands job descriptions/tasks and major soft skills. The article presents a complete personality prediction process using a systematic approach based on major soft skills mapping with job descriptions, personality attributes and personality. The obtained results show that extroversion and feelings personality traits are the most suitable assigned the task of requirements elicitation. The obtained results are very much aligned with the already published scholar's work for software engineer's personality assessments and development team composition.

Item Type: Article (Journal)
Additional Information: 6566/75731
Uncontrolled Keywords: requirements Elicitation, RE teams personality, requirements analyst personality, MBTI personality traits, personality traits, personality traits prediction
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System

Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Asadullah Shah Syed
Date Deposited: 23 Mar 2020 23:53
Last Modified: 23 Mar 2020 23:53
URI: http://irep.iium.edu.my/id/eprint/75731

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year