If it is software engineering, it is (probably) a Bayesian factor
A. Bener* ayse.bener@ryerson.ca; A. Tosun† tosunay@itu.edu.tr * Ryerson University, Toronto ON, Canada† Istanbul Technical University, Maslak Istanbul, Turkey
Abstract
For more than two decades, we have witnessed how software is developed in the industry and later conducted empirical research in academia to build predictive models, mine software repositories, and perform various software analytics tasks to help software development teams make evidence-based decisions.
Keywords
Artificial intelligence (AI); Bayesian Networks (BN); Hybrid Bayesian Network; Gibbs sampling; Causal relationships
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