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首页> 外文期刊>International journal of open source software & processes >Software Maintainability Estimation in Agile Software Development
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Software Maintainability Estimation in Agile Software Development

机译：敏捷软件开发中的软件可维护性估计

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摘要

Agile methodologies have gained wide acceptance for developing high-quality products with a quick and flexible approach. However, until now, the quality of the agile process has not been validated quantitatively. Quality being important for the software system, there is a need for measurement. Estimating different quality factors will lead to a quality product. Also, agile software development does not provide any precise models to evaluate maintainability. Therefore, there is a need for an algorithmic approach that can serve as the basis for estimation of maintainability. The article proposes an adaptive neuro-fuzzy inference system (ANFIS) model for estimating agile maintainability. Maintainability is one of the prominent quality factors in the case of agile development. The proposed model has been verified and found to be effective for assessing the maintainability of agile software.
机译：敏捷方法已被广泛接受，以快速灵活的方式开发高质量产品。但是，到目前为止，敏捷过程的质量尚未得到定量验证。质量对于软件系统很重要，需要进行测量。估计不同的品质因数将产生高质量的产品。而且，敏捷软件开发没有提供任何精确的模型来评估可维护性。因此，需要一种可以用作估计可维护性的基础的算法方法。本文提出了一种用于评估敏捷可维护性的自适应神经模糊推理系统（ANFIS）模型。在敏捷开发的情况下，可维护性是突出的质量因素之一。所提出的模型已经过验证，发现对于评估敏捷软件的可维护性有效。

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