A combined ant colony optimization and simulated annealing algorithm to assess Stability and fault-proneness of classes based on internal software quality attributes
Azar, D., Fayad, K., & Daoud, C. (2016). A Combined Ant Colony Optimization and Simulated Annealing Algorithm to Assess Stability and Fault-Proneness of Classes Based on Internal Software Quality Attributes. International Journal of Artificial Intelligence™, 14(2), 137-156.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | article |
| Published: |
2016
|
| Online Access: | http://hdl.handle.net/10725/4822 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://www.ceser.in/ceserp/index.php/ijai/article/view/4613 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|