![]() The thesis presents a series of contributions to address these limitations. Research in this area has grown rapidly, resulting in a large number of scientific publications (at least 182 between 20) but nearly no independent evaluation and description of how diverse techniques fit together to support specific software engineering tasks have been performed so far. ![]() A variety of app review mining techniques have been proposed to classify reviews and to extract information such as feature requests, bug descriptions, and user sentiments but the usefulness of these techniques in practice is still unknown. Exploiting this information is however difficult due to the large number of reviews and the difficulty in extracting useful actionable information from short informal texts. ![]() App reviews -short user reviews of an app in app stores- provide a potentially rich source of information to help software development teams maintain and evolve their products. The thesis studies how mining app reviews can support software engineering. ![]()
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