Haan, Eize de (2022) Detecting self-admitted technical debt in an industrial setting. Bachelor's Thesis, Computing Science.
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Abstract
De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Avgeriou, P. and Soliman, M.A.M. and Li, Y. |
| Degree programme: | Computing Science |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 26 Aug 2022 12:31 |
| Last Modified: | 26 Aug 2022 12:31 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/28520 |
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