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)
Proceedings - International Conference on Software Engineering
02705257 (ISSN)
328-3299781665412193 (ISBN)
43rd IEEE/ACM International Conference on Software Engineering: Companion, ICSE-Companion 2021
Virtual, Online, Spain,
Virtual, Online, Spain,
Subject Categories
Information Studies
Human Aspects of ICT
Software Engineering
DOI
10.1109/ICSE-Companion52605.2021.00140