Abstract
Software product line (SPL) scoping is important for planning upfront investment. One challenge with scoping comes from inaccuracies in estimated parameters and uncertainty in environment. In this paper, a method to incorporate uncertainty in SPL scoping optimization and its application to generate robust solutions is proposed. We model scoping optimization as a multi-objective problem with profit and stability as heuristics. To evaluate our proposal, a number of experiments are conducted. Analysis of results show that both performance stability and feasibility stability were improved providing the product line manager enhanced decision-making support.
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