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Subject: 计算机软件::软件工程
Title:
Measuring the Heterogeneity of Cross-company Dataset
Author: Chen J(陈嘉) ; Yang Y(杨叶) ; Zhang W(张文) ; Gregory Gay
Conference Name: Profes 2010
Conference Date: 2010-6-22
Issued Date: 2010-06
Conference Place: 爱尔兰,Limerick大学
Keyword: Heterogeneous datasets ; software effort estimation ; parameter comparison ; estimation model calibration
English Abstract: As a standard practice, general effort estimate models are calibrated from large cross-company datasets. However, many of the records within such datasets are taken from companies that have calibrated the model to match their own local practices. Locally calibrated models are a double-edged sword; they often improve estimate accuracy for that particular organization, but they also encourage the growth of local biases. Such biases remain present when projects from that firm are used in a new cross-company dataset. Over time, such biases compound, and the reliability and accuracy of a general model derived from the data will be affected by the increased level of heterogeneity. In this paper, we propose a statistical measure of the exact level of heterogeneity of a cross-company dataset. In experimental tests, we measure the heterogeneity of two COCOMO-based datasets and demonstrate that one is more homogeneous than the other. Such a measure has potentially important implications for both model maintainers and model users. Furthermore, a heterogeneity measure can be used to inform users of the appropriate data handling techniques.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/14786
Appears in Collections:互联网软件技术实验室 _会议论文

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Recommended Citation:
Chen J,Yang Y,Zhang W,et al. Measuring the Heterogeneity of Cross-company Dataset[C]. 见:Profes 2010. 爱尔兰,Limerick大学. 2010-6-22.
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