Bayesian Data Analysis for Software Engineering
Paper in 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

Author

Richard Torkar

University of Gothenburg

Carlo A Furia

Universita della Svizzera italiana

Robert Feldt

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), 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,

Subject Categories

Information Studies

Human Aspects of ICT

Software Engineering

DOI

10.1109/ICSE-Companion52605.2021.00140

More information

Latest update

10/5/2021