Problems with Statistical Practice in Human-Centric Software Engineering Experiments
- Submitting institution
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University of Keele
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 361
- Type
- E - Conference contribution
- DOI
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10.1145/3319008.3319009
- Title of conference / published proceedings
- Proceedings of the Evaluation and Assessment on Software Engineering
- First page
- 134
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2019
- URL
-
https://dl.acm.org/doi/10.1145/3319008.3319009
- Supplementary information
-
-
- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
-
-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This analysis of statistical problens in the reporting of human-centric experiments takes its evidence from the authors' systematic review published the same year in Empirical Software Engineering (https://doi.org/ffh4). The paper, which has equal contributions from the three authors, both exemplifies and expands earlier research on statistical methods, experimental design (e.g. https://doi.org/gdst65), and reproducibilty (e,g, https://doi.org/gf6h5m).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -