期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：2
页码：45-64
DOI：10.14257/ijseia.2016.10.2.05
出版社：SERSC
摘要：In the past, some researchers have shown that using more than one technique can reduce the risk of trusting only one method. At present many estimators use function point input in estimations based on COCOMO. This research paper includes the use and explanations related to advantages of these two "public domain" costing methods and the proposal of an integrated single model for size estimation. The problem of language dependency is well addressed and the language-weighted function point is introduced as the solution domain. Research paper demonstrates that the use of backfiring conversion factors is inherently inaccurate as there is no effective relationship between SLOC and FP. The use of homogeneous data can provide the acceptable results as established. It is demonstrated and established that the combination of physical size and functional size using the LOC and function points can affect the productivity. Using weighted function points as the main input in a COCOMO-like power function enables the effect of the programming language which enables the model to be easily adapted to other development environments. Such estimates are of very high degree of accuracy.
关键词：COCOMO; Function Point; Productivity; language-weighted function ; point.
