Reliance on correlation data for complexity metric use and validation
| aut.relation.endpage | 144 | |
| aut.relation.issue | 8 | |
| aut.relation.startpage | 137 | |
| aut.relation.volume | 26 | |
| aut.researcher | MacDonell, Stephen Gerard | |
| dc.contributor.author | MacDonell, SG | |
| dc.date.accessioned | 2012-05-17T17:40:32Z | |
| dc.date.available | 2012-05-17T17:40:32Z | |
| dc.date.copyright | 1991-08 | |
| dc.date.issued | 1991-08 | |
| dc.description.abstract | This paper reports the results of an experiment to illustrate the hazards of using correlation data as the sole determinant for software metric use and validation. Three widely cited complexity metrics have been examined in relation to the frequency of software development errors. | |
| dc.identifier.citation | Sigplan Notices, vol.26(8), pp.137 - 144 | |
| dc.identifier.doi | 10.1145/122598.122613 | |
| dc.identifier.issn | 0362-1340 | |
| dc.identifier.uri | https://hdl.handle.net/10292/4199 | |
| dc.publisher | ACM | |
| dc.rights | Copyright © ACM, 1991. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in (see citation), (see Publisher’s Version). | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Software science | |
| dc.title | Reliance on correlation data for complexity metric use and validation | |
| dc.type | Journal Article | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies | |
| pubs.organisational-data | /AUT/Design & Creative Technologies/School of Computing & Mathematical Science | |
| pubs.organisational-data | /AUT/PBRF Researchers | |
| pubs.organisational-data | /AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers | |
| pubs.organisational-data | /AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers/DCT C & M Computing |