To cite package 'reproducer' in publications please use:

Lech Madeyski (2023). reproducer: Reproduce Statistical Analyses and Meta-Analyses. R package version 0.5.3. 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

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

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

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

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

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

Corresponding BibTeX entries:

  @Manual{,
    title = {reproducer: Reproduce Statistical Analyses and
      Meta-Analyses},
    author = {Lech Madeyski and Barbara Kitchenham and Tomasz
      Lewowski},
    year = {2023},
    note = {R package version 0.5.3},
    url = {https://cran.r-project.org/package=reproducer},
  }

  @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 = {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},
  }