Team Cognition Approach in Agile Software Development

被引:0
|
作者
Goel R.K. [1 ]
Yadav C.S. [1 ]
Vishnoi S. [2 ]
Singh L. [3 ]
Pachauri P. [4 ]
机构
[1] Department of Computer Science & Engineering, Noida Institute of Engineering & Technology, Greater Noida
[2] Department of Physics, Noida Institute of Engineering & Technology, Greater Noida
[3] Department of Electronics and Communication, Noida Institute of Engineering & Technology, Greater Noida
[4] Department of Mechanical Engineering, Noida Institute of Engineering & Technology, Greater Noida
关键词
Agile software development; linguistic diversity; Micro-task; Team cognition; WCAG guidelines;
D O I
10.25103/jestr.144.03
中图分类号
学科分类号
摘要
Crowdsourcing cognitive science (CCS) provides a cutting-edge development strategy for scientific advancement and innovation to leverage the positive features of the platform. Utilizing the positive qualities of the platform and mitigating risk is the prime decisive task. The crowdsourcing paradigm shortens software development time by increasing the parallelism of design, coding and testing through flexible implementation. Although software development tasks using traditional paradigms were more complex and interdependent, they can be made easy using the crowdsourcing. CCS offers a new way for scientific advancement in this field. The objective of this study is to build more adaptable quality software. As per WHO/World Bank, 15% people in the world have challenges due to disabilities. In the Mission 2030 for Sustainable Development, disability cannot be seen as a hurdle for the lack of digital access and for the achievement of their human rights. It is also important to reinforce the exogenous effect in order to sustain the internal development of human capital and technology for agile process convergence. Crowd-sourced design reduces development cost, time, and effort by involving intelligence, creativity, and critical thinking of people at different levels of society. In this study, internal consistency and reliability of team are also assessed with the help of Cronbach's alpha using IBM-SPSS. The given approach has been validated for its effectiveness and verified with the help of Smart India Hackathon (SIH-2019) datasets. © 2021. All Rights Reserved.
引用
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页码:18 / 25
页数:7
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