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Ensemble based point and confidence interval forecasting in software engineering
Parag C. Pendharkar
School of Business Administration (Harrisburg)
Research output
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Article
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peer-review
3
Scopus citations
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Keyphrases
Confidence Interval
100%
Software Engineering
100%
Maximum Likelihood
100%
Ensemble-based
100%
Maximum a Posteriori
66%
Superior Performance
33%
Size Parameter
33%
Analytical Approach
33%
Performance Metrics
33%
Software Size
33%
Heuristic Approach
33%
Generalization Error
33%
Ordinary Least Squares Regression Models
33%
Bayesian Regression
33%
Computer Science
Software Engineering
100%
maximum-likelihood
100%
Superior Performance
33%
Performance Metric
33%
Least Squares Method
33%
Size Parameter
33%
Generalization Error
33%