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, pp. 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.SubjectDataA data frame with variables:
Alphanumeric identifier for each judge
Numerical value identifying each site from which data was collected
Numerical value identifying each judge
Age of the judge in years
Whether the judge's first language was Enlish: Yes/No
The number of years have student been studying computing at University: 1, 2, 3, 4
Number of abstracts the judge had read prior to the study' 0, 1 to 10, 10+
Whether the judge had ever written an abstract for a scientific report/article
Alphanumeric identifier for an abstract. The first character identifies the journal, I=IST, J=JSS, the third digit identifies the time period as 1 or 2, the remaining digits identify the abstract number within the set of abstracts found for the specified journal and time period
The initial 3 characters of AbstractID
A numeric identifier for the journal and time period, 1=IB1, 2=IB2, 3=JB1, 4=JB2
The order in which the judge should have viewed the specified abstract
The numeric answer to completeness question 1
The numeric answer to completeness question 2
The numeric answer to completeness question 3
The numeric answer to completeness question 4
The numeric answer to completeness question 5
The numeric answer to completeness question 6
The numeric answer to completeness question 7
The numeric answer to completeness question 8
The response to the clarity question or NA if not answered
The number of completeness questions excluding those with NA
Sum of the numeric values of the 8 completeness questions
Sum of the completeness questions 1 to 8 divided by TotalScore
The name of the site which provided the data. HongKong refers to the Polytechnic University, HongKong.2 refers to the City University
Data set collected from 16 judges assessing 4 abstracts at 6 sites: Lincoln University NZ=1, Hong Kong Polytechnic University=2, PSu Thailand=3, Durham=4, Keele=5, Hong Kong City University=6
subjectdata.txt: Judge Institution JudgeID age eng1st years.study abs.read Absid Treat TreatID Order Com.1 Com.2 Com.3 Com.4 Com.5 Com.6 Com.7 Com.8 Clarity num.questions total.score av.score Site
KitchenhamMadeyskiBudgen16.SubjectData
Run the code above in your browser using DataLab