Bayesian Data Analysis for Software Engineering
Paper i proceeding, 2021

Slowly but surely, statistical practices in the empirical sciences are undergoing a complete makeover. Researchers in empirical software engineering, where too statistics is an essential tool, must become familiar with these new practices to ensure rigor of their research methods and soundness of their research results.

Bayesian data analysis

Författare

Richard Torkar

Göteborgs universitet

Carlo A Furia

Universita della Svizzera italiana

Robert Feldt

Chalmers, Data- och informationsteknik, Software Engineering, Software Engineering for Testing, Requirements, Innovation and Psychology

Proceedings - International Conference on Software Engineering

02705257 (ISSN)

328-329

43rd IEEE/ACM International Conference on Software Engineering: Companion, ICSE-Companion 2021
Virtual, Online, Spain,

Ämneskategorier

Biblioteks- och informationsvetenskap

Mänsklig interaktion med IKT

Programvaruteknik

DOI

10.1109/ICSE-Companion52605.2021.00140

Mer information

Senast uppdaterat

2021-10-05