In the context of software architecture design, automated techniques aim to enhance quality attributes through optimization. The paper introduces MAS as a quality indicator that evaluates the diversity of design alternatives based on architectural features. MAS is calculated by considering the distance between architectures generated during optimization experiments. The study demonstrates how MAS can be applied to assess solution sets in the architectural space using a dataset from literature. By encoding architectural modifications as sequences and calculating distances between them, MAS offers a new perspective on assessing solution set diversity.
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