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HyDEEP: Transparent Combination of Measurement and Expert Data for Defect Predic

PhD Theses in Experimental Software Engineering 57

IESE, Fraunhofer /
Erschienen am 01.02.2017
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Bibliografische Daten
ISBN/EAN: 9783839611494
Sprache: Englisch
Umfang: 296
Auflage: 1. Auflage

Beschreibung

In order to provide software of requested quality on time and in budget, it is essential to apply quality assurance (QA) activities such as reviews and tests. However, planning such activities and controlling their execution are challenging tasks for most companies. Thus, this thesis introduces and evaluates a novel approach, which combines commonly available data and expert knowledge to support the planning and controlling of QA activities.