Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection
Autor(en):
Zusammenfassung
We summarize the article Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection [He22], which was published in Empirical Software Engineering in 2022.
- Vollständige Referenz
- BibTeX
Herbold, S., Trautsch, A., Trautsch, F. & Ledel, B.,
(2023).
Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection.
In:
Engels, G., Hebig, R. & Tichy, M.
(Hrsg.),
Software Engineering 2023.
Bonn:
Gesellschaft für Informatik e.V..
(S. 63-64).
@inproceedings{mci/Herbold2023,
author = {Herbold, Steffen AND Trautsch, Alexander AND Trautsch, Fabian AND Ledel, Benjamin},
title = {Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection},
booktitle = {Software Engineering 2023},
year = {2023},
editor = {Engels, Gregor AND Hebig, Regina AND Tichy, Matthias} ,
pages = { 63-64 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Herbold, Steffen AND Trautsch, Alexander AND Trautsch, Fabian AND Ledel, Benjamin},
title = {Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection},
booktitle = {Software Engineering 2023},
year = {2023},
editor = {Engels, Gregor AND Hebig, Regina AND Tichy, Matthias} ,
pages = { 63-64 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
| Dateien | Groesse | Format | Anzeige | |
|---|---|---|---|---|
| paper18.pdf | 173.9Kb | Öffnen |
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken
Mehr Information
ISBN: 978-3-88579-726-5
ISSN: 1617-5468
Datum: 2023
Sprache:
(en)
(en)
Typ: Text/Conference Paper

