HyDEEP: Transparent Combination of Measurement and Expert Data for Defect Predictions
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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.
Autor*in
Michael Kläs
Themen in »HyDEEP: Transparent Combination of Measurement and Expert Data for Defect Predictions«
Fraunhofer IESE systems analysis & design industrial applications of scientific research & technological innovation software engineering software quality assurance defect prediction Softwaretechnik Softwarequalitätssicherung Fehlervorhersage researchers and practitioners in software engineering quality managers project managers software testers Researchers and practitioners in software engineering quality managers