期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2015
卷号：10
期号：4
页码：141-154
DOI：10.14257/ijmue.2015.10.4.15
出版社：SERSC
摘要：Software effort estimation is the key task for the effective project management. It is widely used for planning and monitoring software project development as a means to deliver the product on time and within budget. So far, no model has been proved to be successful at effectively and accurately estimating software development effort. So it is useful to research a particular model for a particular type of project. This paper present an approach for small organic project, based on our previous work. Besides using Gauss- Newton model to calibrate the parameters of the COCOMO, using Fuzzy logic algorithm to optimize it, we also imply Deming Regression, Expert judgment, and Machine learning to improve this model. This model is based on historical project data. Experimental results show that the model is effective for software estimation. The accuracy comparison of each model is presented.
