Keywords: effort estimation, function point analysis, empirical model, project management, size measurement
Received November 9, 2009; revised March 12, 2010; accepted June 10, 2010.
Communicated by Chih-Ping Chu.
* Corresponding author.
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BINGCHIANG JENG1,*, DOWMING YEH2, DERON WANG3, SHU-LAN CHU2 AND CHIA-MEI CHEN1
1Department of Information Management
National Sun Yat-sen University
Kaohsiung, 804 Taiwan
2Department of Software Engineering
National Kaohsiung Normal University
Kaohsiung, 802 Taiwan
3Department of Information System
China Steel Corporation
Kaohsiung, 812 Taiwan
Software estimation provides an important tool for project planning; whose quality
and accuracy greatly affect the success of a project. Despite a plethora of estimation models,
practitioners experience difficulties in applying them because most models attempt to include
as many influential factors as possible in estimating software size and/or effort. This
research suggests a different approach that simplifies and tailors a generic function point
analysis model to increase ease of use. The proposed approach redefines the function type
categories in the FPA model, on the basis of the target application¡¦s characteristics and
system architecture. This method makes the function types more suitable for the particular
application domain. It also enables function point counting by the programmers themselves
instead of by an expert. An empirical study using historical data establishes the regression
model and demonstrates that its prediction accuracy is comparable to that of a FPA model.
Received November 9, 2009; revised March 12, 2010; accepted June 10, 2010.
Communicated by Chih-Ping Chu.
* Corresponding author.