Keywords: software cost estimation model, risk assessment, software project planning, fuzzy decision tree, software measurement and analysis
Received July 1, 2005; accepted November 24, 2005.
Communicated by Sung Shin.
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Sun-Jen Huang, Chieh-Yi Lin and Nan-Hsing Chiu
Department of Information Management
National Taiwan University of Science and Technology
Taipei, 106 Taiwan
As software cost drivers are fuzzy and uncertain, software cost estimates are prone
to a certain degree of estimation errors especially in their early stages of software development
life cycle. However, most of the existing software cost estimation models in present
literature only generate a single point estimate and do not explicitly reveal the degree
of risks caused by their inaccuracies. This paper proposes a fuzzy decision tree approach
for embedding risk assessment information into a software cost estimation model.
Using this model, one may be able to determine the software cost estimate as well as the
estimation error in the form of a fuzzy set. In verifying the merits of this model, we have
used the 63 historical project data in the COCOMO model. The validation result shows
that our proposed model reveals the risk assessment of the generated software cost estimate,
and at the same time yields an even more accurate result as compared to the original
COCOMO model.
Received July 1, 2005; accepted November 24, 2005.
Communicated by Sung Shin.