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Short- and Long-Term Improvement

On the other hand, supplier-dependent factors, such as Key Team Capabilities, helped the organization to focus appropriate risk mitigation actions (i.e., engineers with higher capabilities have to be involved in the project). Moreover, as identified in the cost causal model, the negative impact of Requirements Volatility on cost might be moderated by improved Requirements Management processes. Based on those findings, the software organization was able to improve specic engineering processes and appropriately argument higher development costs to the customer. As a result, the organization did not only have a better chance to successfully complete project X, but also gained a reliable basis (knowledge) for future process improvement (increased development maturity).

Finally, support for applied data analysis helped to identify and improve serious deficiencies in the existing measurement processes, which is essential for project resource management.

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