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Resource link (short)
http://azon.e-science.pl/zasoby/49804Resource link (repository)
https://id.e-science.pl/records/49804Resource metadata
| Title |
Cross-project defect prediction with respect to code ownership model: an empirical study |
|---|---|
| Persons |
Authors:
Marian Jureczko, Lech Madeyski
Partner: Wrocław University of Science and Technology |
| Description |
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. (English) Description in another language: Zasób o zwiększonej dostępności dla ON (osób z niepełnosprawnościami). (Polish) |
| Keywords | "adaptacja"@pl, "informatyka"@pl |
| Classification |
Resource type:
article, chapter Scientific discipline: dziedzina nauk technicznych / informatyka (2011) Destination group: general public, students, scientists Harmful content: No |
| Characteristics |
Title of source document: e-Informatica: Software Engineering Journal
Numbering: Vol. 9, issue 1 Place of publication: Wrocław Publisher: Oficyna Wydawnicza Politechniki Wrocławskiej Time of publication: 2015 From page: 21 To page: 35 ISSN: 1897-7979 Resource language: English Identifiers: DOI: 10.5277/e-Inf150102 |
| External links | |
| License | ID-NC-ND |
| Technical information |
Submitter: Magdalena Kruczek Availability date: 29-08-2019 |
| Collections | Kolekcja Politechniki Wrocławskiej, Kolekcja e-Dostępność |
Citation
Marian Jureczko, Lech Madeyski. Cross-project defect prediction with respect to code ownership model: an empirical study. [article, chapter] Available in Atlas of Open Science Resources, . License: ID-NC-ND, https://azon.e-science.pl/licencje/ID-NC-ND_PWr.pdf. Date of access: DD.MM.RRRR.
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