To cite package 'reproducer' in publications please use:

  Lech Madeyski (2026). reproducer: Reproduce Statistical Analyses and
  Meta-Analyses. R package version 0.6.0.
  https://cran.r-project.org/package=reproducer

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {reproducer: Reproduce Statistical Analyses and Meta-Analyses},
    author = {Lech Madeyski and Barbara Kitchenham and Tomasz Lewowski},
    year = {2026},
    note = {R package version 0.6.0},
    url = {https://cran.r-project.org/package=reproducer},
  }

  Lech Madeyski, Marian Jureczko (2015). Which process metrics can
  significantly improve defect prediction models? An empirical study.
  Software Quality Journal, vol. 23, no. 3, pp. 393-422 DOI:
  10.1007/s11219-014-9241-7 Online:
  https://dx.doi.org/10.1007/s11219-014-9241-7

A BibTeX entry for LaTeX users is

  @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},
  }

  Barbara A. Kitchenham, Lech Madeyski, David Budgen, Jacky Keung,
  Pearl Brereton, Stuart Charters, Shirley Gibbs and Amnart Pohthong
  (2017). Robust Statistical Methods for Empirical Software Engineering
  Empirical Software Engineering, vol. 22, no.2, p. 579-630 DOI:
  10.1007/s10664-016-9437-5 Online:
  https://dx.doi.org/10.1007/s10664-016-9437-5

A BibTeX entry for LaTeX users is

  @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},
  }

  Lech Madeyski and Barbara Kitchenham (2018) Effect Sizes and their
  Variance for AB/BA Crossover Design Studies Empirical Software
  Engineering, vol. 23, no.4, p. 1982-2017 DOI:
  10.1007/s10664-017-9574-5 Online:
  https://dx.doi.org/10.1007/s10664-017-9574-5

A BibTeX entry for LaTeX users is

  @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},
  }

  Barbara Kitchenham, Lech Madeyski and Pearl Brereton (2020)
  Meta-analysis for families of experiments in software engineering: a
  systematic review and reproducibility and validity assessment
  Empirical Software Engineering, vol. 25, no.1, p. 353-401 DOI:
  10.1007/s10664-019-09747-0 Online:
  https://dx.doi.org/10.1007/s10664-019-09747-0

A BibTeX entry for LaTeX users is

  @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},
  }

  Tomasz Lewowski and Lech Madeyski (2020) Creating Evolving Project
  Data Sets in Software Engineering vol. 851 of Studies in
  Computational Intelligence, p.1-14, Springer DOI:
  10.1007/s10664-019-09747-0 Online:
  https://dx.doi.org/10.1007/s10664-019-09747-0

A BibTeX entry for LaTeX users is

  @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},
  }

  Barbara Kitchenham, Lech Madeyski, Giuseppe Scanniello, and Carmine
  Gravino (2022) The importance of the correlation in crossover
  experiments IEEE Transactions on Software Engineering, vol. 48, no.8,
  p. 2802-2813 DOI: 10.1109/TSE.2021.3070480 Online:
  https://doi.org/10.1109/TSE.2021.3070480

A BibTeX entry for LaTeX users is

  @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},
  }