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Software managers pursuing process improvement initiatives are confronted with the problem of selecting potential improvements. In the field of software quality assurance, suitable decision support for prioritizing the optimization of activities according to their return on investment is not yet available. The authors' paper addresses this research gap. They develop a decision support scheme that facilitates the selection and prioritization of quality assurance activities. They demonstrate the scheme's applicability in three industrial case studies. By relying on the well-known COQUALMO model's characteristics and calibration data, their approach is industrially applicable with little data collection efforts.
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