Bayesian Data Analysis in Empirical Software Engineering: The Case of Missing Data

Contemporary Empirical Methods in Software Engineering ◽

10.1007/978-3-030-32489-6_11 ◽

2020 ◽

pp. 289-324

Author(s):

Richard Torkar ◽

Robert Feldt ◽

Carlo A. Furia

Keyword(s):

Data Analysis ◽

Missing Data ◽

Software Engineering ◽

Empirical Software Engineering ◽

Bayesian Data Analysis

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Bayesian Data Analysis in Empirical Software Engineering Research

IEEE Transactions on Software Engineering ◽

10.1109/tse.2019.2935974 ◽

2019 ◽

pp. 1-1 ◽

Author(s):

Carlo Alberto Furia ◽

Robert Feldt ◽

Richard Torkar

Keyword(s):

Data Analysis ◽

Software Engineering ◽

Empirical Software Engineering ◽

Engineering Research ◽

Bayesian Data Analysis ◽

Software Engineering Research ◽

Empirical Software Engineering Research

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Bayesian Data Analysis for Software Engineering

2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) ◽

10.1109/icse-companion52605.2021.00140 ◽

2021 ◽

Author(s):

Richard Torkar ◽

Carlo A. Furia ◽

Robert Feldt

Keyword(s):

Data Analysis ◽

Software Engineering ◽

Bayesian Data Analysis

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Data analysis anti-patterns in empirical software engineering

2013 1st International Workshop on Data Analysis Patterns in Software Engineering (DAPSE) ◽

10.1109/dapse.2013.6603800 ◽

2013 ◽

Author(s):

Sandro Morasca

Keyword(s):

Data Analysis ◽

Software Engineering ◽

Empirical Software Engineering

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What Good Is Bayesian Data Analysis for Software Engineering?

2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C) ◽

10.1109/icse-c.2017.92 ◽

2017 ◽

Author(s):

Carlo A. Furia

Keyword(s):

Data Analysis ◽

Software Engineering ◽

Bayesian Data Analysis

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The Comparison of Elementaπ Teachers' Longitudinal Advice Network Missing Data Analysis: Based on Multiple Imputation when Missing Not At idom(MNAR)

Korean Society for Educational Evaluation ◽

10.31158/jeev.2019.32.4.671 ◽

2019 ◽

Vol 32 (4) ◽

pp. 671-703

Author(s):

Chong Min Kim

Keyword(s):

Data Analysis ◽

Missing Data ◽

Multiple Imputation ◽

Missing Data Analysis

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The role of replications in Empirical Software Engineering

Empirical Software Engineering ◽

10.1007/s10664-008-9060-1 ◽

2008 ◽

Vol 13 (2) ◽

pp. 211-218 ◽

Author(s):

Forrest J. Shull ◽

Jeffrey C. Carver ◽

Sira Vegas ◽

Natalia Juristo

Keyword(s):

Software Engineering ◽

Empirical Software Engineering

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Kruschke, J. K. (2011). Doing Bayesian Data Analysis: A Tutorial with R and BUGS. Burlington, MA: Academic Press.

Journal of Educational Measurement ◽

10.1111/jedm.12029 ◽

2013 ◽

Vol 50 (4) ◽

pp. 469-471 ◽

Author(s):

Kimberly F. Colvin

Keyword(s):

Data Analysis ◽

Academic Press ◽

Bayesian Data Analysis

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Missing-data theory in the context of exploratory data analysis

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2010.04.017 ◽

2010 ◽

Vol 103 (1) ◽

pp. 8-18 ◽

Author(s):

José Camacho

Keyword(s):

Data Analysis ◽

Missing Data ◽

Exploratory Data Analysis ◽

Exploratory Data

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Guest Editorial for Special Section from Empirical Software Engineering & Measurement (ESEM) 2011

Information and Software Technology ◽

10.1016/j.infsof.2012.12.008 ◽

2013 ◽

Vol 55 (7) ◽

pp. 1277-1278

Author(s):

Martin Shepperd ◽

Forrest Shull

Keyword(s):

Software Engineering ◽

Guest Editorial ◽

Special Section ◽

Empirical Software Engineering ◽

Engineering Measurement

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Proceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

10.1145/3475716 ◽

2021 ◽

Keyword(s):

Software Engineering ◽

International Symposium ◽

Empirical Software Engineering ◽

Ieee International Symposium

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