What Machine Learning Can Learn From Software Modularity

Notice

This item has not yet been validated by imec staff.

This is not the latest version of this item. The latest version can be found at: https://imec-publications.be/handle/20.500.12860/40422.3

dc.contributor.author	Kriens, Peter
dc.contributor.author	Verbelen, Tim
dc.date.accessioned	2022-09-13T02:51:21Z
dc.date.available	2022-09-13T02:51:21Z
dc.date.issued	2022-SEP
dc.identifier.issn	0018-9162
dc.identifier.other	WOS:000848240100005
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/40422
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.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	Under review

Files in this item

Files	Size	Format	View
There are no files associated with this item.

Version	Item	Date	Summary
3	20.500.12860/40422.3	2022-09-27T10:06:16Z	validation by library/open access desk
2	20.500.12860/40422.2	2022-09-13T10:06:31Z	validation by imec author
1	20.500.12860/40422*	2022-09-13T02:51:21Z

*Selected version