This paper examines online product forums as valuable sources of user feedback for eliciting product requirements, contrasting their content with that found on platforms like App Stores and Twitter. By analyzing two large forums, the study identifies 18 types of relevant information for software maintenance and evolution, highlighting the inadequacy of existing App Store tools for classifying forum data. The authors develop specific classifiers tailored for forum content, achieving promising f-measure scores between 70.3% and 89.8%.
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Tizard, James, et al. "Can a conversation paint a picture? mining requirements in software forums." 2019 IEEE 27th International Requirements Engineering Conference (RE). IEEE, 2019.
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