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, https://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, https://dx.doi.org/10.5277/e-Inf150102.
Kitchenham B, 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, https://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, https://doi.org/10.1007/s10664-017-9574-5.
Kitchenham B, Madeyski L, Pearl P (2020). “Meta-analysis for families of experiments in software engineering: a systematic review and reproducibility and validity assessment.” Empirical Software Engineering, 25(1), 353–401. doi:10.1007/s10664-019-09747-0, https://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, https://doi.org/10.1007/978-3-030-26574-8_1.
Kitchenham B, Madeyski L, Scanniello G, Gravino C (2022). “The importance of the correlation in crossover experiments.” IEEE Transactions on Software Engineering, 48(8), 2802–2813. doi:10.1109/TSE.2021.3070480, https://doi.org/10.1109/TSE.2021.3070480.
Madeyski L (2023). reproducer: Reproduce Statistical Analyses and Meta-Analyses. R package version 0.5.3, https://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 = {https://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 = {https://dx.doi.org/10.5277/e-Inf150102}, }
@Article{, title = {Robust Statistical Methods for Empirical Software Engineering}, author = {Barbara 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 = {https://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 = {https://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 Kitchenham and Lech Madeyski and Pearl Pearl}, journal = {Empirical Software Engineering}, year = {2020}, volume = {25}, number = {1}, pages = {353--401}, doi = {10.1007/s10664-019-09747-0}, url = {https://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 = {https://doi.org/10.1007/978-3-030-26574-8_1}, }
@Article{, title = {The importance of the correlation in crossover experiments}, author = {Barbara Kitchenham and Lech Madeyski and Giuseppe Scanniello and Carmine Gravino}, journal = {IEEE Transactions on Software Engineering}, year = {2022}, volume = {48}, number = {8}, pages = {2802--2813}, doi = {10.1109/TSE.2021.3070480}, url = {https://doi.org/10.1109/TSE.2021.3070480}, }
@Manual{, title = {reproducer: Reproduce Statistical Analyses and Meta-Analyses}, author = {Lech Madeyski}, year = {2023}, note = {R package version 0.5.3}, url = {https://madeyski.e-informatyka.pl/reproducible-research/}, }