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https://doi.org/10.21256/zhaw-19314| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | User review-based change file localization for mobile applications |
| Autor/-in: | Zhou, Yu Su, Yanqi Chen, Taolue Huang, Zhiqiu Gall, Harald C. Panichella, Sebastiano |
| et. al: | No |
| DOI: | 10.1109/TSE.2020.2967383 10.21256/zhaw-19314 |
| Erschienen in: | IEEE Transactions on Software Engineering |
| Band(Heft): | 47 |
| Heft: | 12 |
| Seite(n): | 2755 |
| Seiten bis: | 2770 |
| Erscheinungsdatum: | 2020 |
| Verlag / Hrsg. Institution: | IEEE |
| ISSN: | 0098-5589 1939-3520 2326-3881 |
| Sprache: | Englisch |
| Schlagwörter: | User review; Mobile app; Information retrieval; Change file localization |
| Fachgebiet (DDC): | 005: Computerprogrammierung, Programme und Daten |
| Zusammenfassung: | In the current mobile app development, novel and emerging DevOps practices (e.g., Continuous Delivery, Integration, and user feedback analysis) and tools are becoming more widespread. For instance, the integration of user feedback (provided in the form of user reviews) in the software release cycle represents a valuable asset for the maintenance and evolution of mobile apps. To fully make use of these assets, it is highly desirable for developers to establish semantic links between the user reviews and the software artefacts to be changed (e.g., source code and documentation), and thus to localize the potential files to change for addressing the user feedback. In this paper, we propose RISING (Reviews Integration via claSsification, clusterIng, and linkiNG), an automated approach to support the continuous integration of user feedback via classification, clustering, and linking of user reviews. RISING leverages domain-specific constraint information and semi-supervised learning to group user reviews into multiple fine-grained clusters concerning similar users' requests. Then, by combining the textual information from both commit messages and source code, it automatically localizes potential change files to accommodate the users' requests. Our empirical studies demonstrate that the proposed approach outperforms the state-of-the-art baseline work in terms of clustering and localization accuracy, and thus produces more reliable results. |
| Weitere Angaben: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19314 |
| Volltext Version: | Akzeptierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Informatik (InIT) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2020_Zhou-etal_User-review-based-change-file-localization-mobile-applications_TSE.pdf | Accepted Version | 1.52 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Zhou, Y., Su, Y., Chen, T., Huang, Z., Gall, H. C., & Panichella, S. (2020). User review-based change file localization for mobile applications. IEEE Transactions on Software Engineering, 47(12), 2755–2770. https://doi.org/10.1109/TSE.2020.2967383
Zhou, Y. et al. (2020) ‘User review-based change file localization for mobile applications’, IEEE Transactions on Software Engineering, 47(12), pp. 2755–2770. Available at: https://doi.org/10.1109/TSE.2020.2967383.
Y. Zhou, Y. Su, T. Chen, Z. Huang, H. C. Gall, and S. Panichella, “User review-based change file localization for mobile applications,” IEEE Transactions on Software Engineering, vol. 47, no. 12, pp. 2755–2770, 2020, doi: 10.1109/TSE.2020.2967383.
ZHOU, Yu, Yanqi SU, Taolue CHEN, Zhiqiu HUANG, Harald C. GALL und Sebastiano PANICHELLA, 2020. User review-based change file localization for mobile applications. IEEE Transactions on Software Engineering. 2020. Bd. 47, Nr. 12, S. 2755–2770. DOI 10.1109/TSE.2020.2967383
Zhou, Yu, Yanqi Su, Taolue Chen, Zhiqiu Huang, Harald C. Gall, and Sebastiano Panichella. 2020. “User Review-Based Change File Localization for Mobile Applications.” IEEE Transactions on Software Engineering 47 (12): 2755–70. https://doi.org/10.1109/TSE.2020.2967383.
Zhou, Yu, et al. “User Review-Based Change File Localization for Mobile Applications.” IEEE Transactions on Software Engineering, vol. 47, no. 12, 2020, pp. 2755–70, https://doi.org/10.1109/TSE.2020.2967383.
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