Abstract
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. Our paper addresses this research gap. We develop a decision support scheme that facilitates the selection and prioritization of quality assurance activities. We demonstrate the scheme’s applicability in three industrial case studies. By relying on the well-known COQUALMO model’s characteristics and calibration data, our approach is industrially applicable with little data collection efforts.
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Beckhaus, A., Karg, L.M., Graf, C.A., Grottke, M., Neumann, D. (2011). A Decision Support Scheme for Software Process Improvement Prioritization. In: Cordeiro, J., Ranchordas, A., Shishkov, B. (eds) Software and Data Technologies. ICSOFT 2009. Communications in Computer and Information Science, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20116-5_7
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DOI: https://doi.org/10.1007/978-3-642-20116-5_7
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