Madeyski15EISEJ.StudProjects: Madeyski15EISEJ.StudProjects data
In reproducer: Reproduce Statistical Analyses and Meta-Analyses
Madeyski15EISEJ.StudProjects R Documentation
Madeyski15EISEJ.StudProjects data
Description
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)
Usage
Madeyski15EISEJ.StudProjects
Format
A data frame with variables:
- PROP
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 student (i.e., academic) projects.
- NOTSTUD
The percentage of classes of projects which are not student projects that must be tested in order to find 80% of defects in case of software defect prediction models built on student (i.e., academic) projects.
- STUD
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 student (i.e., academic) projects.
- OPEN
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 student (i.e., academic) projects.
Source
https://madeyski.e-informatyka.pl/reproducible-research/
Examples
Madeyski15EISEJ.StudProjects
reproducer documentation built on Oct. 18, 2023, 5:10 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| Madeyski15EISEJ.StudProjects | R Documentation |
Madeyski15EISEJ.StudProjects data
Description
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)
Usage
Madeyski15EISEJ.StudProjects
Format
A data frame with variables:
- PROP
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 student (i.e., academic) projects.
- NOTSTUD
The percentage of classes of projects which are not student projects that must be tested in order to find 80% of defects in case of software defect prediction models built on student (i.e., academic) projects.
- STUD
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 student (i.e., academic) projects.
- OPEN
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 student (i.e., academic) projects.
Source
https://madeyski.e-informatyka.pl/reproducible-research/
Examples
Madeyski15EISEJ.StudProjects
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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