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dc.contributor.authorKupinski, S.
dc.contributor.authorWalter, B.
dc.contributor.authorWolski, Marcin
dc.contributor.authorChojnacki, J.
dc.identifier.citationKupinski, S. and Walter, B. and Wolski, M. and Chojnacki, J. 2017. Filling the gaps: Imputation of missing metrics’ values in a software quality model, in Proceedings of the 27th International Workshop on Software Measurement (IWSM) and 12th International Conference on Software Process and Product Measurement, Oct 25-27 2017, pp. 82-87. Göteborg, Sweden: Association for Computing Machinery (ACM).

Hierarchical software quality models usually rely on a number of metrics, which, once aggregated, provide an overview of selected perspectives of a system’s quality. Missing values of some metrics, that usually result from data unavailability, can seriously affect the final score. In the paper we empirically validate a few imputation methods in context of a custom Géant-QM framework, used for evaluation of several open source systems. Early results indicate imputing a missing value based on its close neighbors as data donors introduces less noise that using a wider set of donors.

dc.titleFilling the gaps: Imputation of missing metrics’ values in a software quality model
dc.typeConference Paper
dcterms.source.volumePart F131936
dcterms.source.titleACM International Conference Proceeding Series
dcterms.source.seriesACM International Conference Proceeding Series
curtin.departmentSchool of Civil and Mechanical Engineering (CME)
curtin.accessStatusFulltext not available

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