Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20870
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dc.contributor.authorDi Sorbo, Andrea-
dc.contributor.authorGrano, Giovanni-
dc.contributor.authorVisaggio, Corrado Aaron-
dc.contributor.authorPanichella, Sebastiano-
dc.date.accessioned2020-11-19T14:48:28Z-
dc.date.available2020-11-19T14:48:28Z-
dc.date.issued2020-09-14-
dc.identifier.issn2047-7473de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20870-
dc.descriptionThis is the peer reviewed version which has been published in final form at https://doi.org/10.1002/smr.2316. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.de_CH
dc.description.abstractApp quality impacts user experience and satisfaction. As a consequence, both app ratings and user feedback reported in app reviews are directly influenced by the user‐perceived app quality. Through an empirical study involving 210,517 reviews related to 317 Android apps, in this paper, we experiment with the combined usage of app rating and user reviews analysis (i) to investigate the most important factors influencing the perceived app quality, (ii) focusing on the topics discussed in user review that most relate with app rating. Besides, we investigate whether specific code quality metrics could be monitored to prevent the rising of negative user feedback (i.e., types of user review comments), connected with low ratings. Our study demonstrates that user comments reporting bugs are negatively correlated with the rating, while reviews reportingfeature requests do not. Interestingly, depending on the app category, we observed that different kinds of issues have rather different relationships with the rating and the user‐perceived quality of the app. In particular, we observe that for specific app categories (e.g., communication), some code quality factors have significant relationships with the raising of certain types of feedback, which, in turn, are negatively connected with app ratings.de_CH
dc.language.isoende_CH
dc.publisherWileyde_CH
dc.relation.ispartofJournal of Software: Evolution and Processde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleInvestigating the criticality of user‐reported issues through their relations with app ratingde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1002/smr.2316de_CH
dc.identifier.doi10.21256/zhaw-20870-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.embargo.end2021-09-15de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedSoftware Systemsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Di Sorbo, A., Grano, G., Visaggio, C. A., & Panichella, S. (2020). Investigating the criticality of user‐reported issues through their relations with app rating. Journal of Software: Evolution and Process. https://doi.org/10.1002/smr.2316
Di Sorbo, A. et al. (2020) ‘Investigating the criticality of user‐reported issues through their relations with app rating’, Journal of Software: Evolution and Process [Preprint]. Available at: https://doi.org/10.1002/smr.2316.
A. Di Sorbo, G. Grano, C. A. Visaggio, and S. Panichella, “Investigating the criticality of user‐reported issues through their relations with app rating,” Journal of Software: Evolution and Process, Sep. 2020, doi: 10.1002/smr.2316.
DI SORBO, Andrea, Giovanni GRANO, Corrado Aaron VISAGGIO und Sebastiano PANICHELLA, 2020. Investigating the criticality of user‐reported issues through their relations with app rating. Journal of Software: Evolution and Process. 14 September 2020. DOI 10.1002/smr.2316
Di Sorbo, Andrea, Giovanni Grano, Corrado Aaron Visaggio, and Sebastiano Panichella. 2020. “Investigating the Criticality of User‐Reported Issues through Their Relations with App Rating.” Journal of Software: Evolution and Process, September. https://doi.org/10.1002/smr.2316.
Di Sorbo, Andrea, et al. “Investigating the Criticality of User‐Reported Issues through Their Relations with App Rating.” Journal of Software: Evolution and Process, Sept. 2020, https://doi.org/10.1002/smr.2316.


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