One metric to combine them all: Experimental comparison of metric aggregation approaches in software quality models

Wolski, Marcin; Walter, B.; Kupinski, S.; Prominski, P.

doi:10.1109/IWSM-Mensura.2016.031

Access Status

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Authors

Wolski, Marcin

Walter, B.

Kupinski, S.

Prominski, P.

Date

2017

Type

Conference Paper

Metadata

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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.

Source Title

Proceedings - 26th International Workshop on Software Measurement, IWSM 2016 and the 11th International Conference on Software Process and Product Measurement, Mensura 2016

DOI

10.1109/IWSM-Mensura.2016.031

ISBN

9781509041473

School

School of Civil and Mechanical Engineering (CME)

URI

http://hdl.handle.net/20.500.11937/62931

Collection

Curtin Research Publications

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.