A Software Size Estimation Using Weighted FFP

Park Juseok

A Software Size Estimation Using Weighted FFP

Park Juseok, Journal of Internet Computing and Services, Vol. 6, No. 2, pp. 37-48, Apr. 2005
Full Text:

Keywords: Software Size, Function Point, Full Function Point, FFP, Complexity-Weighted, Functional Elements

Abstract

Most of the methods of estimating the size of software are based on the functions provided to costumers and in the process of granting the score to each function we consider the complexity during the process. The FFP technique has advantages applied to vast areas like data management. real-time system, algorithmic software, etc, but on the other hand, has disadvantage on estimating sizes for weights for necessary function elements. This paper proposes the estimating method for software size by considering the complexity of each function elements in full function point calculation method applied to a new developed project and maintenance projects. For this, based on function point by using surveyed data proved the validity of proposed method. The valid result. was that the function elements, the attributes used in size estimation of software, est mated better estimated sizes than in the case of other weights being applied.

Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.

Cite this article

[APA Style]

Juseok, P. (2005). A Software Size Estimation Using Weighted FFP. Journal of Internet Computing and Services, 6(2), 37-48.

[IEEE Style]

P. Juseok, "A Software Size Estimation Using Weighted FFP," Journal of Internet Computing and Services, vol. 6, no. 2, pp. 37-48, 2005.

[ACM Style]

Park Juseok. 2005. A Software Size Estimation Using Weighted FFP. Journal of Internet Computing and Services, 6, 2, (2005), 37-48.