基于Simulink的模糊COCOMO

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2016-12-01 DOI:10.1109/IC3I.2016.7918800

Sonia Chhabra, Harvir Singh

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引用次数: 2

摘要

对软件成本的准确估计可以将软件开发过程中的风险降到最低。不同成本估算模型的适用性是非常重要的，因为实现这些模型所需的信息是不精确和模糊的。为了提高模型的精度，提出引入模糊化的概念来计算COCOMO模型中不同成本动因对应的努力乘数值。该模型采用MATLAB进行设计，并在SIMULINK中进行建模。使用COCOMO数据集验证了结果，并观察到通过模糊化成本驱动因素，模型生成的结果更接近实际值，从而提高了估计过程的准确性。

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Simulink based fuzzified COCOMO

Accurate estimation of the cost of a software minimizes the risk for the software development process. Applicability of the different cost estimation models is very crucial as the information required for the implementation of such models is imprecise and vague. In order to increase the accuracy of the model, it is proposed to introduce the concept of fuzzification for calculating the value of effort multiplier corresponding to different of cost drivers used in COCOMO model. The proposed model is designed using the MATLAB and is modeled in SIMULINK. The results are validated using the COCOMO dataset and it has been observed that by fuzzifying the cost drivers the model generated the results more closer to the actual values and thus enhances the accuracy of the estimation process.

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2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)

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