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Software component quality has a major influence in software development project performances such as lead-time, time to market and cost. It also affects the other projects within the organization, the people assigned into the projects and the organization in general. Software development organization must have indication and prediction about software component quality and project performances in general. One of the software component quality prediction techniques is statistical and probabilistic technique. The paper deals with software quality prediction techniques, different applied models in different development projects and faults existing indicators. Three case studies are presented and evaluated for prediction of software quality in very large development projects within the AXE platform in the Ericsson Nikola Tesla R&D.