Function Point: Perversioni Metriche e Nebbie Epistemiche

2014 ◽  
pp. 38-42
Author(s):  
Marco Gentili
Keyword(s):  
Function Point

scholarly journals Causal-Effect Analysis using Bayesian LiNGAM Comparing with Correlation Analysis in Function Point Metrics and Effort

2018 ◽  
Vol 3 (2) ◽  
pp. 90-112 ◽  
Author(s):  
Masanari Kondo ◽  
Osamu Mizuno ◽  
Eun-Hye Choi
Keyword(s):  
Causal Effect ◽  
Task Assignment ◽  
Effort Estimation ◽  
Software Effort Estimation ◽  
Estimation Model ◽  
Effect Analysis ◽  
Explanatory Variables ◽  
Function Point ◽  
New Findings ◽  
Non Gaussian

Software effort estimation is a critical task for successful software development, which is necessary for appropriately managing software task assignment and schedule and consequently producing high quality software. Function Point (FP) metrics are commonly used for software effort estimation. To build a good effort estimation model, independent explanatory variables corresponding to FP metrics are required to avoid a multicollinearity problem. For this reason, previous studies have tackled analyzing correlation relationships between FP metrics. However, previous results on the relationships have some inconsistencies. To obtain evidences for such inconsistent results and achieve more effective effort estimation, we propose a novel analysis, which investigates causal-effect relationships between FP metrics and effort. We use an advanced linear non-Gaussian acyclic model called BayesLiNGAM for our causal-effect analysis, and compare the correlation relationships with the causal-effect relationships between FP metrics. In this paper, we report several new findings including the most effective FP metric for effort estimation investigated by our analysis using two datasets.

scholarly journals Study on the System Design of Campus Resource Sharing Platform

2021 ◽  
Vol 235 ◽  
pp. 02038
Author(s):  
Xi Zeng ◽  
Yu Zhou ◽  
Xuqi Chen
Keyword(s):  
College Students ◽  
Data Analysis ◽  
System Design ◽  
Resource Sharing ◽  
The Internet ◽  
User Research ◽  
Function Point ◽  
User Groups ◽  
Commodity Trading ◽  
The Times

The development of the times and the development of the Internet have changed people’s consumption concepts. The author has conducted user research on user groups such as college students. After data analysis, the demand for resource sharing and trading of second-hand goods of college students was transformed into the function point of the trading platform. The APP was designed and developed to solve the needs of college students to share and exchange resources on campus. The APP’s main functions are second-hand commodity trading and virtual resource trading.

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