If you use this data set please cite: Marian Jureczko and Lech Madeyski, 'Cross-project defect prediction with respect to code ownership model: An empirical study', e-Informatica Software Engineering Journal, vol. 9, no. 1, pp. 21-35, 2015. DOI: 10.5277/e-Inf150102 (https://dx.doi.org/10.5277/e-Inf150102) URL: https://madeyski.e-informatyka.pl/download/JureczkoMadeyski15.pdf)
Madeyski15EISEJ.PropProjectsA data frame with variables:
The percentage of classes of non-proprietary (i.e., non-industrial) projects that must be tested in order to find 80% of defects in case of software defect prediction models built on proprietary (i.e., industrial) projects.
The percentage of classes of open source projects that must be tested in order to find 80% of defects in case of software defect prediction models built on proprietary (i.e., industrial) projects.
The percentage of classes of student (i.e., academic) projects that must be tested in order to find 80% of defects in case of software defect prediction models built on proprietary (i.e., industrial) projects.
The percentage of classes of proprietary (i.e., industrial) projects that must be tested in order to find 80% of defects in case of software defect prediction models built on proprietary (i.e., industrial) projects.