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dc.contributor.authorWolski, Marcin
dc.contributor.authorWalter, B.
dc.contributor.authorKupinski, S.
dc.contributor.authorProminski, P.
dc.date.accessioned2018-02-06T06:14:14Z
dc.date.available2018-02-06T06:14:14Z
dc.date.created2018-02-06T05:49:52Z
dc.date.issued2017
dc.identifier.citationWolski, 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.urihttp://hdl.handle.net/20.500.11937/62931
dc.identifier.doi10.1109/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.titleOne metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models
dc.typeConference Paper
dcterms.source.startPage159
dcterms.source.endPage163
dcterms.source.titleProceedings - 26th International Workshop on Software Measurement, IWSM 2016 and the 11th International Conference on Software Process and Product Measurement, Mensura 2016
dcterms.source.seriesProceedings - 26th International Workshop on Software Measurement, IWSM 2016 and the 11th International Conference on Software Process and Product Measurement, Mensura 2016
dcterms.source.isbn9781509041473
curtin.departmentSchool of Civil and Mechanical Engineering (CME)
curtin.accessStatusFulltext not available


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