Predicting Most Productive Requirements Elicitation Teams using MBTI Personality Traits Model
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Published:2019-10-30
Issue:1
Volume:9
Page:3809-3814
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ISSN:2249-8958
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Container-title:International Journal of Engineering and Advanced Technology
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language:
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Short-container-title:IJEAT
Author:
Iqbal* Mr. M. Aqeel, ,Shah Dr. Asadullah,Khan Ms. Tehmina Karamat ullah, ,
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 personality assessment models. The MBTI personality assessment model has been used successfully for the assessment 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 assessment model, on the basis of their industry demanded 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 traits. The obtained results show that extraversion and feeling personality traits are the most suitable personality traits for requirements analysts/engineers who are 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 assessment and development team composition.
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Computer Science Applications,General Engineering,Environmental Engineering
Cited by
2 articles.
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1. Teamwork in Software Development and What Personality Has to Do with It - An Overview;Lecture Notes in Computer Science;2023
2. People Analyser;2022 IEEE 1st International Conference on Data, Decision and Systems (ICDDS);2022-12-02