If you use this data set please cite this R package and the following paper when accepted: Barbara Kitchenham, Lech Madeyski, David Budgen, Jacky Keung, Pearl Brereton, Stuart Charters, Shirley Gibbs, and Amnart Pohthong, 'Robust Statistical Methods for Empirical Software Engineering', Empirical Software Engineering, vol. 22, no.2, p. 579-630, 2017. DOI: 10.1007/s10664-016-9437-5 (https://dx.doi.org/10.1007/s10664-016-9437-5), URL: https://madeyski.e-informatyka.pl/download/KitchenhamMadeyskiESE.pdf
KitchenhamMadeyskiBudgen16.PolishDataA data frame with variables:
The abstract identifier
Numeric identifier for the site
The first three characters of the Abstract field which identifies the journal and time period of the abstract
An acronym for the journal from which the abstract was obtained: IST or JSS
The Time period in which the abstract was found: 1 or 2
The identifier for the judge who made the next 2 assessments
The average completeness made by judge J1 based on the 8 completeness questions
The clarity assessment made by judge J1
The identifier for the judge who made the next 2 assessments
The average completeness made by judge J2 based on the 8 completeness questions
The clarity assessment made by judge J2
The identifier for the judge who made the next 2 assessments
The average completeness made by judge J3 based on the 8 completeness questions
The clarity assessment made by judge J3
The identifier for the judge who made the next 2 assessments
The average completeness made by judge J4 based on the 8 completeness questions
The clarity assessment made by judge J4
The median of J1Completeness, J2Completeness, J3Completeness, J4Completeness
The median of J1Clarity, J2Clarity, J3Clarity, J4Clarity
Data set derived from PolishSubjects data set collected at Wroclaw University. It summarizes the completeness and clarity data collected from 4 judges about the same abstract.
PolishData.txt
KitchenhamMadeyskiBudgen16.PolishData
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