scholarly journals An Accurate FFPA-PSR Estimator Algorithm and Tool for Software Effort Estimation

2015 ◽  
Vol 2015 ◽  
pp. 1-5
Author(s):  
Senthil Kumar Murugesan ◽  
Chidhambara Rajan Balasubramanian
Keyword(s):  
Performance Metrics ◽  
Development Stage ◽  
Effort Estimation ◽  
Software Effort Estimation ◽  
Reliability Factor ◽  
Function Point Analysis ◽  
Software Companies ◽  
Point Analysis ◽  
Function Point ◽  
Project Data

Software companies are now keen to provide secure software with respect to accuracy and reliability of their products especially related to the software effort estimation. Therefore, there is a need to develop a hybrid tool which provides all the necessary features. This paper attempts to propose a hybrid estimator algorithm and model which incorporates quality metrics, reliability factor, and the security factor with a fuzzy-based function point analysis. Initially, this method utilizes a fuzzy-based estimate to control the uncertainty in the software size with the help of a triangular fuzzy set at the early development stage. Secondly, the function point analysis is extended by the security and reliability factors in the calculation. Finally, the performance metrics are added with the effort estimation for accuracy. The experimentation is done with different project data sets on the hybrid tool, and the results are compared with the existing models. It shows that the proposed method not only improves the accuracy but also increases the reliability, as well as the security, of the product.

scholarly journals Web Effort Estimation: Function Point Analysis vs. COSMIC

2016 ◽  
Vol 72 ◽  
pp. 90-109 ◽  
Author(s):  
Sergio Di Martino ◽  
Filomena Ferrucci ◽  
Carmine Gravino ◽  
Federica Sarro
Keyword(s):  
Effort Estimation ◽  
Function Point Analysis ◽  
Point Analysis ◽  
Function Point ◽  
Estimation Function

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.

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