One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models
© 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 severa...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/62931 |
| _version_ | 1848760948454588416 |
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| author | Wolski, Marcin Walter, B. Kupinski, S. Prominski, P. |
| author_facet | Wolski, Marcin Walter, B. Kupinski, S. Prominski, P. |
| author_sort | Wolski, Marcin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 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. |
| first_indexed | 2025-11-14T10:23:53Z |
| format | Conference Paper |
| id | curtin-20.500.11937-62931 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:23:53Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-629312018-02-06T06:24:13Z One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models Wolski, Marcin Walter, B. Kupinski, S. Prominski, P. © 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. 2017 Conference Paper http://hdl.handle.net/20.500.11937/62931 10.1109/IWSM-Mensura.2016.031 restricted |
| spellingShingle | Wolski, Marcin Walter, B. Kupinski, S. Prominski, P. One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models |
| title | One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models |
| title_full | One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models |
| title_fullStr | One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models |
| title_full_unstemmed | One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models |
| title_short | One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models |
| title_sort | one metric to combine them all: experimental comparison of metric aggregation approaches in software quality models |
| url | http://hdl.handle.net/20.500.11937/62931 |