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A duo fold systematic tournament investigation on team formation using longitudinal and quantitative predictive principles


Article Information

Title: A duo fold systematic tournament investigation on team formation using longitudinal and quantitative predictive principles

Authors: Krishankumar R., Ravichandran K. S.

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 21

Language: English

Categories

Abstract

In software development lifecycle, team formation is playing an indispensable role in developing software application. Standard and ad-hoc principles are available for team formations. Newly adopted key factors are incorporated nowadays for the optimal group selection or team formation. Past records, innovative ideologies and relevant experiences in the field brings real intuition of a person which is essential to form a good team to achieve the ultimate goal of a project or a task set completion. In this article a systematic investigation on team formation is carried out to identify the current region of interest by tapping the unfilled gaps in the team formation agenda and to understand the effects of teams in product development scenarios. A Selective Search (SS) mechanism is adopted to collect 100 papers for survey. A systematic investigation on teams is carried out using cohort study and regression approaches for a tournament based analysis. The validation of the model is done using test and measures from statistical themes. The intuitive inference that is obtained from the analysis is that, team formation has made an exhaustive effort on qualitative modeling but a subtle contribution towards quantitative model development. Also the concept of optimizing the quantified parameters adhering to teams using traditional or non-traditional optimization techniques is discussed only on a narrow lane. It is concluded that the current hot spots for effective team formation lies in the design of an optimized quantitative model. It also infers from the analysis that there is an effective need for both the cohort study and regression mechanism to understand the missing region in team formation by setting up a theoretic framework and wrapping it up using a mathematical principle.


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