Abstract
The success of mobile applications is closely tied to their performance which shapes the user experience and satisfaction. Most users often delete mobile apps from their devices due to poor performance indicating a mobile app’s failure in the competitive market. This paper performs a quantitative and qualitative analysis and investigates performance-related issues in Google Play Store reviews. This study has been conducted on 368,704 reviews emphasizing more 1- and 2-star reviews distributed over 55 Android apps. Our research also reports a taxonomy of 8 distinct performance issues obtained using manual inspection. Our findings show that end-users recurrently raised Updation (69.11%), Responsiveness (25.11%), and Network (3.28%) issues among others. These results can be used as preliminary steps towards understanding the key performance concerns from the perspective of end users. Furthermore, Our long-term objective will be to investigate whether developers resolve these performance issues in their apps.
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References
Tarek, M.: Studying the effectiveness of application performance management (APM) tools for detecting performance regressions for web applications: an experience report. In Miryung Kim, Romain Robbes, and Christian Bird, editors. In: Proceedings of the 13th International Conference on Mining Software Repositories, MSR 2016, Austin, TX, USA, May 14–22, 2016, pp. 1–12. ACM (2016)
Das, T., Di Penta, M., Malavolta, I.: a quantitative and qualitative investigation of performance-related commits in android apps. In: 2016 IEEE International Conference on Software Maintenance and Evolution, ICSME 2016, Raleigh, NC, USA, October 2–7, 2016, pp. 443–447. IEEE Computer Society (2016)
Foo, K.C., Jiang, Z.M., Adams, B., Hassan, A. E., Zou, Y., Flora, P.: An industrial case study on the automated detection of performance regressions in heterogeneous environments. In: Bertolino, A., Canfora, G., Elbaum, S.G., eds. In: 37th IEEE/ACM International Conference on Software Engineering, ICSE 2015, Florence, Italy, May 16–24, 2015, Vol. 2, pp. 159–168. IEEE Computer Society (2015)
Liu, Y., Xu, C., Cheung, S.C.: Characterizing and detecting performance bugs for smartphone applications. In Pankaj Jalote, Lionel C. Briand, and André van der Hoek, editors, In: 36th International Conference on Software Engineering, ICSE ’14, Hyderabad, India - May 31 - June 07, 2014, pp. 1013–1024. ACM (2014)
Malavolta, I., Ruberto, S., Soru, T., Terragni, V.: End users’ perception of hybrid mobile apps in the google play store. In Onur Altintas and Jia Zhang, editors, In: 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27 - July 2, 2015, pp. 25–32. IEEE Computer Society (2015)
Malik, H., Hemmati, H., Hassan, A. E.: Automatic detection of performance deviations in the load testing of large scale systems. In: Notkin, D., Cheng, B.H.C., Pohl, K., eds. In: 35th International Conference on Software Engineering, ICSE ’13, San Francisco, CA, USA, May 18–26, 2013, pp. 1012–1021. IEEE Computer Society (2013)
Selakovic, M., Pradel, M.: Performance issues and optimizations in javascript: an empirical study. In: Dillon, L.K., Visser, W., Williams, L.A., eds. In: Proceedings of the 38th International Conference on Software Engineering, ICSE 2016, Austin, TX, USA, May 14–22, 2016, pp. 61–72. ACM (2016)
Zaman, S., Adams, B., Hassan, A. E.: A qualitative study on performance bugs. In: Lanza, M., Di Penta, M., Xie, T., eds. In: 9th IEEE Working Conference of Mining Software Repositories, MSR 2012, June 2–3, 2012, Zurich, Switzerland, pp. 199–208. IEEE Computer Society (2012)
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Noor, A., Mehmood, M.D., Das, T. (2022). End Users’ Perspective of Performance Issues in Google Play Store Reviews. In: Taibi, D., Kuhrmann, M., Mikkonen, T., Klünder, J., Abrahamsson, P. (eds) Product-Focused Software Process Improvement. PROFES 2022. Lecture Notes in Computer Science, vol 13709. Springer, Cham. https://doi.org/10.1007/978-3-031-21388-5_45
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