Cross–Project Defect Prediction with Respect to Code Ownership Model: an Empirical Study

Jureczko, Marian; Madeyski, Lech

doi:10.5277/e-Inf150102

EISEJ

ISSN (electronic): 2084-4840
ISSN (print): 1897-7979
ISBN: 978-83-7493-305-6
DOI: 10.37190/e-inf
DOI (before 2020): 10.5277/e-informatica

Our journal works under a Creative Commons Attribution 4.0 International License.

Impact Factor (2022) = 0.8 New!
5-Year Impact Factor (2022) = 0.9 New!

Scopus CiteScore (2022) = 2.1
Scopus SNIP (2022) = 0.538
Index Copernicus Value (2022): 121.90

The journal is published under the auspices of the Software Engineering Section of the Committee on Informatics of the Polish Academy of Sciences and Wrocław University of Science and Technology.

The Journal is co-financed under the program “Development of scientific journals” from the funds of the Minister of Education and Science, contract no RCN/SP/0219/2021/1

Indexed by:

About

Cross–Project Defect Prediction With Respect To Code Ownership Model: An Empirical Study

2015
[1]	Marian Jureczko and Lech Madeyski, "Cross-Project Defect Prediction with Respect to Code Ownership Model: An Empirical Study", In e-Informatica Software Engineering Journal, vol. 9, pp. 21–35, 2015. DOI: 10.5277/e-Inf150102. Download article (PDF)Get article BibTeX file

Authors

Marian Jureczko, Lech Madeyski

Abstract

The paper presents an analysis of 83 versions of industrial, open-source and academic projects. We have empirically evaluated whether those project types constitute separate classes of projects with regard to defect prediction. Statistical tests proved that there exist significant differences between the models trained on the aforementioned project classes. This work makes the next step towards cross-project reusability of defect prediction models and facilitates their adoption, which has been very limited so far.

Keywords

software metrics, software defect prediction, cross-project prediction