| dc.contributor.author | Mello, Rachele | |
| dc.date.accessioned | 2017-06-22T10:07:08Z | |
| dc.date.available | 2017-06-22T10:07:08Z | |
| dc.date.issued | 2017-06-22 | |
| dc.identifier.uri | http://hdl.handle.net/2077/52659 | |
| dc.description.abstract | Several software companies use some sort of competitive
programming to screen job applicants. In this study, the
factors present in job applications are analyzed to find possible
predictors of candidates’ scores in competitive programming
tests. Non parametric statistical tests are used and a logistic
model is built and evaluated. | sv |
| dc.language.iso | eng | sv |
| dc.title | Predicting the performance of job applicants in coding tests | sv |
| dc.type | text | |
| dc.setspec.uppsok | Technology | |
| dc.type.uppsok | M2 | |
| dc.contributor.department | Göteborgs universitet/Institutionen för data- och informationsteknik | swe |
| dc.contributor.department | University of Gothenburg/Department of Computer Science and Engineering | eng |
| dc.type.degree | Student essay | |
