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What good is Bayesian data analysis for software engineering?

Carlo A. Furia (Institutionen för Data- och informationsteknik, Formella metoder (Chalmers))
39th IEEE/ACM International Conference on Software Engineering Companion, ICSE-C 2017, Buenos Aires, Argentina, 20-28 May 2017 p. 374-376. (2017)
[Konferensbidrag, refereegranskat]

This abstract outlines the problems with classical statistical hypothesis testing, and recommends using alternative techniques based on Bayesian statistics, which are largely immune to the shortcomings of statistical hypothesis testing, and support a robust induction process.



Denna post skapades 2017-08-23.
CPL Pubid: 251338

 

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Institutioner (Chalmers)

Institutionen för Data- och informationsteknik, Formella metoder (Chalmers)

Ämnesområden

Programvaruteknik

Chalmers infrastruktur