What Machine Learning Can Learn From Software Modularity
| dc.contributor.author | Kriens, Peter | |
| dc.contributor.author | Verbelen, Tim | |
| dc.date.accessioned | 2022-09-27T10:07:31Z | |
| dc.date.available | 2022-09-13T02:51:21Z | |
| dc.date.available | 2022-09-13T10:09:00Z | |
| dc.date.available | 2022-09-27T10:07:31Z | |
| dc.date.issued | 2022 | |
| dc.identifier.issn | 0018-9162 | |
| dc.identifier.other | WOS:000848240100005 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/40422.3 | |
| dc.source | WOS | |
| dc.title | What Machine Learning Can Learn From Software Modularity | |
| dc.type | Journal article | |
| dc.contributor.imecauthor | Verbelen, Tim | |
| dc.contributor.orcidimec | Verbelen, Tim::0000-0003-2731-7262 | |
| dc.date.embargo | 2022-09-01 | |
| dc.identifier.doi | 10.1109/MC.2022.3160276 | |
| dc.source.numberofpages | 8 | |
| dc.source.peerreview | yes | |
| dc.source.beginpage | 35 | |
| dc.source.endpage | 42 | |
| dc.source.journal | COMPUTER | |
| dc.source.issue | 9 | |
| dc.source.volume | 55 | |
| imec.availability | Published - open access |