DocumentCode
3232294
Title
Estimation of software projects effort based on function point
Author
Zheng, Yinhuan ; Wang, Beizhan ; Zheng, Yilong ; Shi, Liang
Author_Institution
Software Sch., Xiamen Univ., Xiamen, China
fYear
2009
fDate
25-28 July 2009
Firstpage
941
Lastpage
943
Abstract
With the development of software industry, software estimation and measurement is catching much more concern. Scale increasing in applications and a variety of programming languages using at the same time, manual measurement based on the LOC (line of code) cannot meet the estimating requirements. The emergence of function point resolves these difficult issues. In order to obtain the software effort, we propose an estimating method for software effort based on function point. It helps to estimate software effort more accurately without considering the languages or developing environment you choose. Firstly, use actual project records to obtain the linear relation between function point and software effort. Then determine the parameters of linear equations by maximum likelihood estimating method. Finally, you can get the effort of the project according to this equation with the function point given. After obtaining the software effort, project manager can arrange the project progress, control the cost and ensure the quality more accurately.
Keywords
maximum likelihood estimation; programming languages; project management; software cost estimation; function point analysis; linear equation; maximum likelihood estimation method; programming languages; project manager; software cost estimation; software industry; software project effort estimation; Application software; Computer industry; Computer languages; Equations; Lab-on-a-chip; Maximum likelihood estimation; Quality management; Software measurement; Software quality; Time measurement; function point; software estimation; software measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location
Nanning
Print_ISBN
978-1-4244-3520-3
Electronic_ISBN
978-1-4244-3521-0
Type
conf
DOI
10.1109/ICCSE.2009.5228317
Filename
5228317
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