Behavioral Economics Issues for Software Requirements Optimization for Personal Data Security and Privacy

Shatadru Shikta, Somania Nur Mahal, Kazi Bushra Al Jannat, Mahady Hasan, M. Rokonuzzaman
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Abstract

The effects of psychological, cognitive, emotional, cultural and social factors on the decisions of users and service providers for online service delivery are important factors to take into consideration in designing software applications. Increasing preference of online service delivery is also raising concerns about personal data security and privacy. Hence, there is a need for optimally trading off ease of use and extra measures for ensuring data privacy and security issues. Within this context, behavioral economics is one of the major factors in determining outcomes and successes of underlying software applications. Although much research done on behavioral economics separately, however, behavioral economics is mostly unexplored in the field of software requirements engineering process. With the growing needs of personal data security and privacy concerns, the software community needs to adapt it to software requirements optimization to incorporate and prioritize requirements related to personal data security and privacy. In this study, our main objective is to explore the behavioral economics issues towards data security and privacy and adapt them into the software requirement process. We have proposed a score-based framework. The ultimate goal of this framework is to help companies maximize the benefit and minimize the cost of software products while adapting the data security and privacy requirements in the requirement engineering process.
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个人数据安全和隐私软件需求优化的行为经济学问题
心理、认知、情感、文化和社会因素对用户和服务提供商在线服务交付决策的影响是设计软件应用程序时需要考虑的重要因素。人们越来越倾向于在线提供服务,这也引发了对个人数据安全和隐私的担忧。因此,需要在易用性和确保数据隐私和安全问题的额外措施之间进行最佳权衡。在这种情况下,行为经济学是决定底层软件应用程序的结果和成功的主要因素之一。尽管对行为经济学进行了许多单独的研究,但是,行为经济学在软件需求工程过程领域的研究还很少。随着个人数据安全和隐私问题的需求不断增长,软件社区需要使其适应软件需求优化,以纳入和优先考虑与个人数据安全和隐私相关的需求。在本研究中,我们的主要目标是探索数据安全和隐私的行为经济学问题,并将其适应于软件需求过程。我们提出了一个基于分数的框架。该框架的最终目标是帮助公司在需求工程过程中适应数据安全和隐私需求的同时,最大化软件产品的收益并最小化成本。
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