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Assessing and interpreting object-oriented software complexity with structured and independent metrics

dc.contributor.authorNeumann, Roland
dc.contributor.authorKlemann, Dennis
dc.contributor.editorBeydeda, Ksami
dc.contributor.editorGruhn, Volker
dc.contributor.editorMayer, Johannes
dc.contributor.editorReussner, Ralf
dc.contributor.editorSchweiggert, Franz
dc.date.accessioned2019-10-11T10:37:51Z
dc.date.available2019-10-11T10:37:51Z
dc.date.issued2004
dc.description.abstractObject-oriented software complexity is difficult to assess due to its manifold influences from cognition science or algorithmic complexity theory. A practical process for a structured complexity assessment is presented in this paper. It starts with considerations for measurement and data preparation. Using mathematical transformation techniques, independent complexity metrics are gained. With these results, complexity aspects of a software system can be defined. This makes a complexity comparison through system classes possible, which helps getting an overview on large systems. These process steps are then illustrated with an industrial example.en
dc.identifier.isbn3-88579-387-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/28486
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofTesting of component-based systems and software quality
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-58
dc.titleAssessing and interpreting object-oriented software complexity with structured and independent metricsen
dc.typeText/Conference Paper
gi.citation.endPage140
gi.citation.publisherPlaceBonn
gi.citation.startPage133
gi.conference.dateSeptember 30, 2004
gi.conference.locationErfurt
gi.conference.sessiontitleRegular Research Papers

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