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In this paper, we attempt to understand what contributes to a successful process for managing legacy system evolution. We provide an analysis of a number of key performance indicators such as cost, duration, and defects. By normalizing through function points, we furthermore compare to a larger benchmark. To do so we performed a mixed, retrospective case study on a series of nine software releases...
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