Abstract
Companies developing mobile apps face increasing requirements such as short time to market or high quality. Furthermore, users have more influence on apps, as they can easily provide feedback on the product. Consequently, feedback is a valuable source for product improvement. Ideally, this would be done in an automated way. However, because of the limitations of understanding of natural language by machines, this is not possible in a satisfactory way. We have created a quality assurance process that makes use of feedback by applying lightweight analyses in order to enable product managers to take decisions. Some aspects of our process are the inclusion of emojis to reveal emotions, the detection of trends, as well as the derivation of improvement suggestions. With examples from popular apps, we show the practical application of our process.
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Acknowledgments
The research described in this paper was performed in the project Opti4Apps funded by the German Federal Ministry of Education and Research (BMBF) (grant no. 02K14A182). We thank Sonnhild Namingha for proofreading.
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Scherr, S.A., Elberzhager, F., Meyer, S. (2019). Listen to Your Users – Quality Improvement of Mobile Apps Through Lightweight Feedback Analyses. In: Winkler, D., Biffl, S., Bergsmann, J. (eds) Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud. SWQD 2019. Lecture Notes in Business Information Processing, vol 338. Springer, Cham. https://doi.org/10.1007/978-3-030-05767-1_4
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