Grouping candidate requirements by user-feedback topics before matching them to reviews improves automated requirements prioritization and, with ChatGPT-extracted 'requires' pairs, strengthens NSGA-II release planning on a word-processor benchmark.
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Enhancing User-Feedback Driven Requirements Prioritization
Grouping candidate requirements by user-feedback topics before matching them to reviews improves automated requirements prioritization and, with ChatGPT-extracted 'requires' pairs, strengthens NSGA-II release planning on a word-processor benchmark.