Name
Title | ||
|---|---|---|
Automatic clustering constraints derivation from object-oriented software using weighted complex network with graph theory analysis. |
Abstract | ||
|---|---|---|
•A method to automatically derive clustering constraints from the analysed software.•Based on graph theory analysis to identify meaningful community structure.•Beneficial in situations where domain experts or oracles are not available.•40 open-source software systems were chosen to evaluate the proposed approach.•Help improve the overall accuracy of clustering results when measured using MoJoFM. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.jss.2017.08.017 | Journal of Systems and Software |
Keywords | Field | DocType |
Constrained clustering,Software clustering,Software remodularisation,Graph theory,Complex network | Data mining,Domain engineering,Software design,Computer science,Software system,Constrained clustering,Artificial intelligence,Conceptual clustering,Software metric,Cluster analysis,Machine learning,Software sizing | Journal |
Volume | ISSN | Citations |
133 | 0164-1212 | 1 |
PageRank | References | Authors |
0.40 | 49 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chun Yong Chong | 1 | 14 | 2.93 |
| Sai Peck Lee | 2 | 142 | 22.55 |