Analyzing the Effectiveness of the Gaussian Mixture Model Clustering Algorithm in Software Enhancement Effort Estimation.
Vo Van HaiHo Le Thi Kim NhungZdenka ProkopovaRadek SilhavyPetr SilhavyPublished in: ACIIDS (2) (2022)
Keyphrases
- gaussian mixture model
- effort estimation
- software development
- software projects
- clustering algorithm
- software maintenance
- software life cycle
- mixture model
- software development effort
- software engineering
- em algorithm
- background subtraction
- early phase
- feature vectors
- maximum likelihood
- gaussian mixture
- software effort
- expectation maximization
- software project management
- image processing
- gaussian mixture modeling
- software systems
- project managers
- software development projects
- k means
- feature space
- reverse engineering
- source code
- software engineers
- open source
- data model
- high level
- real world