IMPLEMENTATION OF CHAOTIC GAUSSIAN PARTICLE SWARM OPTIMIZATION FOR OPTIMIZING LEARNING-TO-RANK SOFTWARE DEFECT PREDICTION MODEL CONSTRUCTION
Finding the existence of software defect as early as possible is the purpose of research about software defect prediction. Software defect prediction activity is required to not only state the existence of defects, but also to be able to give a list of priorities which modules require a more intensi...
Saved in:
Main Author: | Ali Buchari - NIM: 23514008 , Muhammad |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/23191 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
MUCPSO: A Modified Chaotic Particle Swarm Optimization with Uniform Initialization for Optimizing Software Effort Estimation
by: Ardiansyah, Ardiansyah, et al.
Published: (2022) -
Particle swarm optimization for construction of neural network-based prediction intervals
by: Quan, H., et al.
Published: (2014) -
Construction of neural network-based prediction intervals using particle swarm optimization
by: Quan, H., et al.
Published: (2014) -
Optimized integration algorithm model for stock price prediction with particle swarm optimization
by: Lin, Zhi
Published: (2018) -
Dynamic multi-swarm particle swarm optimization for multi-objective optimization problems
by: Niu, B., et al.
Published: (2013)