Bayesian Data Analysis in Empirical Software Engineering Research (ICSE 2020 - Journal First) - ICSE 2020

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Wed 24 June - Thu 16 July 2020

Who

Carlo A. Furia, Robert Feldt, Richard Torkar

Track

ICSE 2020 Journal First

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When

Tue 7 Jul 2020 07:45 - 07:53 at Baekje - I1-Metastudies Chair(s): Michael Vierhauser

Abstract

Statistics comes in two main flavors: frequentist and Bayesian. For historical and technical reasons, frequentist statistics have long been the most widely used, and remain the standard choice in empirical software engineering. In recent years, however, Bayesian statistics have slowly become more prominent while, at the same time, statistical practices commonly associated with frequentist statistics have been criticized because of technical and methodological shortcomings. This paper argues that Bayesian techniques can bring benefits to software engineering data analysis, and they can help raise the quality and impact of empirical research in this area.

Link to Preprint

https://arxiv.org/abs/1811.05422

DOI

https://doi.org/10.1109/TSE.2019.2935974

Carlo A. Furia

Università della Svizzera italiana (USI)

Switzerland

Robert Feldt

Chalmers | University of Gothenburg, Blekinge Institute of Technology

Sweden

Richard Torkar

Chalmers and the University of Gothenburg

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Session Program

Tue 7 Jul
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	07:00 - 08:00	I1-MetastudiesNew Ideas and Emerging Results / Technical Papers / Journal First / Demonstrations at Baekje Chair(s): Michael Vierhauser Johannes Kepler University Linz

	07:00 12m Talk		An Evidence-Based Inquiry into the Use of Grey Literature in Software EngineeringTechnical Technical Papers He Zhang Nanjing University, Xin Zhou State Key Laboratory of Novel Software Technology, Software Institute, Nanjing University, Xin Huang State Key Laboratory of Novel Software Technology, Software Institute, Nanjing University, Huang Huang State Key Laboratory of Novel Software Technology, Software Institute, Nanjing University, Muhammad Ali Babar The University of Adelaide
	07:12 8m Talk		An Extended Abstract of "Metamorphic Robustness Testing: Exposing Hidden Defects in Citation Statistics and Journal Impact Factors"J1 Journal First Zhi Quan (George) Zhou University of Wollongong, Australia, T.H. Tse The University of Hong Kong, Matt Witheridge University of Wollongong
	07:20 8m Talk		A Procedure and Guidelines for Analyzing Groups of Software Engineering ReplicationsJ1 Journal First Adrian Santos Parrilla University of Oulu, Sira Vegas Universidad Politecnica de Madrid, Markku Oivo University of Oulu, Natalia Juristo Universidad Politecnica de Madrid
	07:28 3m Talk		An SLR-Tool: Search Process in PracticeDemo Demonstrations Andreas Hinderks University of Seville, Francisco José Domínguez Mayo University of Seville, Jörg Thomaschewski University of Applied Sciences Emden/Leer, María José Escalona University of Seville
	07:31 6m Talk		Threats to Validity in Experimenting Mutation-Based Fault LocalizationNIER New Ideas and Emerging Results Juyoung Jeon Handong Global University, Shin Hong Handong Global University
	07:37 8m Talk		Methodological Principles for Reproducible Performance Evaluation in Cloud ComputingJ1 Journal First Alessandro Vittorio Papadopoulos Mälardalen University, Laurens Versluis Vrije Universiteit Amsterdam, André Bauer University of Würzburg, Nikolas Herbst University of Würzburg, Joakim von Kistowski University of Würzburg, Ahmed Ali-Eldin UMass Amherst, Cristina L. Abad Escuela Superior Politecnica del Litoral, Jose Nelson Amaral University of Alberta, Petr Tuma Charles University, Alexandru Iosup Vrije Universiteit Amsterdam
	07:45 8m Talk		Bayesian Data Analysis in Empirical Software Engineering ResearchJ1 Journal First Carlo A. Furia Università della Svizzera italiana (USI), Robert Feldt Chalmers \| University of Gothenburg, Blekinge Institute of Technology, Richard Torkar Chalmers and the University of Gothenburg DOI Pre-print