To cite package 'reproducer' in publications please use:
Madeyski L, Jureczko M (2015). “Which process metrics can significantly improve defect prediction models? An empirical study.” Software Quality Journal, 23(3), 393–422. doi: 10.1007/s11219-014-9241-7, http://dx.doi.org/10.1007/s11219-014-9241-7.
Jureczko M, Madeyski L (2015). “Cross-project defect prediction with respect to code ownership model: An empirical study.” e-Informatica Software Engineering Journal, 9(1), 21–35. doi: 10.5277/e-Inf150102, http://dx.doi.org/10.5277/e-Inf150102.
Kitchenham BA, Madeyski L, Budgen D, Keung J, Brereton P, Charters S, Gibbs S, Pohthong A (2017). “Robust Statistical Methods for Empirical Software Engineering.” Empirical Software Engineering, 22(2), 579–630. doi: 10.1007/s10664-016-9437-5, http://dx.doi.org/10.1007/s10664-016-9437-5.
Madeyski L, Kitchenham B (2018). “Effect Sizes and their Variance for AB/BA Crossover Design Studies.” Empirical Software Engineering, 23(4), 1982–2017. doi: 10.1007/s10664-017-9574-5, http://doi.org/10.1007/s10664-017-9574-5.
Kitchenham BA, Madeyski L, Brereton P (2019). “Meta-analysis for families of experiments in software engineering: a systematic review and reproducibility and validity assessment.” Empirical Software Engineering. doi: 10.1007/s10664-019-09747-0, http://doi.org/10.1007/s10664-019-09747-0.
Lewowski T, Madeyski L (2020). “Creating Evolving Project Data Sets in Software Engineering.” In Jarzabek S, Poniszewska-Mara'nda A, Madeyski L (eds.), Integrating Research and Practice in Software Engineering, volume 851 series Studies in Computational Intelligence, chapter Creating Evolving Project Data Sets in Software Engineering, 1–14. Springer. doi: 10.1007/978-3-030-26574-8_1, http://doi.org/10.1007/978-3-030-26574-8_1.
Madeyski L (2019). reproducer: Reproduce Statistical Analyses and Meta-Analyses. R package version 0.3.1, http://madeyski.e-informatyka.pl/reproducible-research/.
Corresponding BibTeX entries:
@Article{,
title = {Which process metrics can significantly improve defect
prediction models? An empirical study},
author = {Lech Madeyski and Marian Jureczko},
journal = {Software Quality Journal},
year = {2015},
volume = {23},
number = {3},
pages = {393--422},
doi = {10.1007/s11219-014-9241-7},
url = {http://dx.doi.org/10.1007/s11219-014-9241-7},
}
@Article{,
title = {Cross-project defect prediction with respect to code
ownership model: An empirical study},
author = {Marian Jureczko and Lech Madeyski},
journal = {e-Informatica Software Engineering Journal},
year = {2015},
volume = {9},
number = {1},
pages = {21--35},
doi = {10.5277/e-Inf150102},
url = {http://dx.doi.org/10.5277/e-Inf150102},
}
@Article{,
title = {Robust Statistical Methods for Empirical Software
Engineering},
author = {Barbara A. Kitchenham and Lech Madeyski and David Budgen
and Jacky Keung and Pearl Brereton and Stuart Charters and
Shirley Gibbs and Amnart Pohthong},
journal = {Empirical Software Engineering},
year = {2017},
volume = {22},
number = {2},
pages = {579--630},
doi = {10.1007/s10664-016-9437-5},
url = {http://dx.doi.org/10.1007/s10664-016-9437-5},
}
@Article{,
title = {Effect Sizes and their Variance for AB/BA Crossover Design
Studies},
author = {Lech Madeyski and Barbara Kitchenham},
journal = {Empirical Software Engineering},
year = {2018},
volume = {23},
number = {4},
pages = {1982--2017},
doi = {10.1007/s10664-017-9574-5},
url = {http://doi.org/10.1007/s10664-017-9574-5},
}
@Article{,
title = {Meta-analysis for families of experiments in software
engineering: a systematic review and reproducibility and validity
assessment},
author = {Barbara A. Kitchenham and Lech Madeyski and Pearl
Brereton},
journal = {Empirical Software Engineering},
year = {2019},
doi = {10.1007/s10664-019-09747-0},
url = {http://doi.org/10.1007/s10664-019-09747-0},
}
@InBook{,
title = {Creating Evolving Project Data Sets in Software
Engineering},
booktitle = {Integrating Research and Practice in Software
Engineering},
chapter = {Creating Evolving Project Data Sets in Software
Engineering},
author = {Tomasz Lewowski and Lech Madeyski},
editor = {Stanislaw Jarzabek and Aneta Poniszewska-Mara{'{n}}da and
Lech Madeyski},
year = {2020},
volume = {851},
series = {Studies in Computational Intelligence},
pages = {1--14},
publisher = {Springer},
doi = {10.1007/978-3-030-26574-8_1},
url = {http://doi.org/10.1007/978-3-030-26574-8_1},
}
@Manual{,
title = {reproducer: Reproduce Statistical Analyses and
Meta-Analyses},
author = {Lech Madeyski},
year = {2019},
note = {R package version 0.3.1},
url = {http://madeyski.e-informatyka.pl/reproducible-research/},
}