One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models
| dc.contributor.author | Wolski, Marcin | |
| dc.contributor.author | Walter, B. | |
| dc.contributor.author | Kupinski, S. | |
| dc.contributor.author | Prominski, P. | |
| dc.date.accessioned | 2018-02-06T06:14:14Z | |
| dc.date.available | 2018-02-06T06:14:14Z | |
| dc.date.created | 2018-02-06T05:49:52Z | |
| dc.date.issued | 2017 | |
| dc.identifier.citation | Wolski, M. and Walter, B. and Kupinski, S. and Prominski, P. 2017. One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models, pp. 159-163. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/62931 | |
| dc.identifier.doi | 10.1109/IWSM-Mensura.2016.031 | |
| dc.description.abstract |
© 2016 IEEE. Hierarchical software quality models define different levels, at which various criteria or characteristics are evaluated. In order to combine the data from lower levels, we need an effective method of aggregation. In this paper we report observations and conclusions from applying several approaches to metric aggregation, based on data acquired from two software systems. | |
| dc.title | One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models | |
| dc.type | Conference Paper | |
| dcterms.source.startPage | 159 | |
| dcterms.source.endPage | 163 | |
| dcterms.source.title | Proceedings - 26th International Workshop on Software Measurement, IWSM 2016 and the 11th International Conference on Software Process and Product Measurement, Mensura 2016 | |
| dcterms.source.series | Proceedings - 26th International Workshop on Software Measurement, IWSM 2016 and the 11th International Conference on Software Process and Product Measurement, Mensura 2016 | |
| dcterms.source.isbn | 9781509041473 | |
| curtin.department | School of Civil and Mechanical Engineering (CME) | |
| curtin.accessStatus | Fulltext not available |
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