Research of Software Size Estimation Method

2013 ◽  
Author(s):  
Aihua Ren ◽  
Chen Yun
Keyword(s):  
Estimation Method ◽  
Size Estimation ◽  
Software Size Estimation

A Software Size Estimation Method Based on Improved FPA

2010 ◽  
Author(s):  
Fu Ya-fang ◽  
Liu Xiao-dong ◽  
Yang Ren-nong ◽  
Du Yi-lin ◽  
Li Yan-jie
Keyword(s):  
Estimation Method ◽  
Size Estimation ◽  
Software Size Estimation

scholarly journals Using Actors and Use Cases for Software Size Estimation

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 592
Author(s):  
Radek Silhavy ◽  
Petr Silhavy ◽  
Zdenka Prokopova
Keyword(s):  
Project Planning ◽  
Use Cases ◽  
New Method ◽  
Software Systems ◽  
Software Project ◽  
Use Case ◽  
Size Estimation ◽  
Software Size Estimation ◽  
Use Case Points

Software size estimation represents a complex task, which is based on data analysis or on an algorithmic estimation approach. Software size estimation is a nontrivial task, which is important for software project planning and management. In this paper, a new method called Actors and Use Cases Size Estimation is proposed. The new method is based on the number of actors and use cases only. The method is based on stepwise regression and led to a very significant reduction in errors when estimating the size of software systems compared to Use Case Points-based methods. The proposed method is independent of Use Case Points, which allows the elimination of the effect of the inaccurate determination of Use Case Points components, because such components are not used in the proposed method.

Correlations of Body Composition and Body-Image Assessments of Adolescents

1997 ◽  
Vol 84 (3_suppl) ◽  
pp. 1330-1330 ◽  
Author(s):  
Nuala M. Byrne ◽  
Andrew P. Hills
Keyword(s):  
Body Image ◽  
Body Composition ◽  
Body Dissatisfaction ◽  
Estimation Method ◽  
Size Estimation ◽  
Subjective Measures

Body composition status influenced the strength of correlations between indices of body dissatisfaction assessed using a perceptual size-estimation method and two subjective measures of body image for 217 male ( n = 122) and female ( n = 95) adolescents.

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