Loading...
Please wait, while we are loading the content...
Similar Documents
Spectral Clustering Effect in Software Development Effort Estimation
| Content Provider | MDPI |
|---|---|
| Author | Silhavy, Petr Silhavy, Radek Prokopova, Zdenka |
| Copyright Year | 2021 |
| Description | Software development effort estimation is essential for software project planning and management. In this study, we present a spectral clustering algorithm based on symmetric matrixes as an option for data processing. It is expected that constructing an estimation model on more similar data can increase the estimation accuracy. The research methods employ symmetrical data processing and experimentation. Four experimental models based on function point analysis, stepwise regression, spectral clustering, and categorical variables have been conducted. The results indicate that the most advantageous variant is a combination of stepwise regression and spectral clustering. The proposed method provides the most accurate estimates compared to the baseline method and other tested variants. |
| Starting Page | 2119 |
| e-ISSN | 20738994 |
| DOI | 10.3390/sym13112119 |
| Journal | Symmetry |
| Issue Number | 11 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-11-08 |
| Access Restriction | Open |
| Subject Keyword | Symmetry Information and Library Science Clustering Development Effort Estimation Function Point Analysis Software Engineering Software Measurement Spectral Clustering |
| Content Type | Text |
| Resource Type | Article |
