Requirements Elicitation Techniques for Dynamic Parameterization of Feature Extraction Algorithms in Image Processing: A Survey

Edmore Chikohora, B. M. Esiefarienrhe, T. Chikohora
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Abstract

Requirements Elicitation (RE) is a formal practice focusing on collecting users' needs, whereas dynamic parameterization (DP) is the process of finding parametric equivalence of an algorithm whose state evolves with time. Traditional data acquisition methods such as interviews, observations and questionnaires are faced with challenges especially when it comes to eliciting requirements for dynamic algorithms unambiguously. In this study, we did a comprehensive survey on contemporary RE approaches for dynamic parameterization and the factors to consider when selecting an approach to use in Feature Extraction Algorithms (FEA). Based on our findings we proposed a model that optimizes the process of RE for dynamic algorithms. A case study approach was used to evaluate the implementation our proposal.
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图像处理中特征提取算法动态参数化的需求引出技术综述
需求激发(RE)是一种注重收集用户需求的形式化实践,而动态参数化(DP)是一种状态随时间变化而变化的算法的参数等价过程。传统的数据获取方法,如访谈、观察和问卷调查等,面临着挑战,特别是在明确地得出动态算法的需求时。在这项研究中,我们对动态参数化的当代可重构方法进行了全面的调查,并考虑了在特征提取算法(FEA)中选择一种方法时需要考虑的因素。基于我们的发现,我们提出了一个模型来优化动态算法的RE过程。一个案例研究的方法被用来评估我们的建议的实施。
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