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Proto-Spiral: A Hybrid SDLC Model for Measuring Scalability Early in Development Using a Probabilistic Approach

机译:原型螺旋:利用概率方法测量开发的早期可扩展性的混合SDLC模型

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In this paper, we propose a probabilistic model for measuring one of the many Non-functional requirements, namely, the Scalability, which is largely unexplored till now early in software development life cycle. The proposed model is a combination of Prototype and Spiral models; those are standard and accepted SDLC models. Developing software which addresses the functional requirements only, can lead to a solution, but quality attributes for that remain unanswered. It may be a less useful, slow, less reliable system. The system's 'quality characteristics' or 'quality attributes' are specified in the Non functional requirements to improve QoS which are hardly covered by functional requirements. The proposed model, named Proto-Spiral can be used for measuring many of the non-functional requirements.
机译:在本文中,我们提出了一种用于测量众多非功能性要求之一的概率模型,即可扩展性,这主要是在软件开发生命周期早期到现在的直到现在。所提出的模型是原型和螺旋模型的组合;这些是标准的和接受的SDLC模型。仅开发解决功能要求的软件,可以导致解决方案,但该质量属性仍未得到答复。它可能是一个不太有用,缓慢,可靠的系统。系统的“质量特征”或“质量属性”是在非功能性要求中规定的,以改善QoS,这几乎不受功能要求。所提出的模型,名为Propo-Slipal,可用于测量许多非功能性要求。

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