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Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Peer review (Publikation)
Titel: Automatic detection and repair recommendation of directive defects in Java API documentation
Autor/-in: Zhou, Yu
Yan, Xin
Chen, Taolue
Panichella, Sebastiano
Gall, Harald
DOI: 10.1109/TSE.2018.2872971
10.21256/zhaw-3218
Erschienen in: IEEE Transactions on Software Engineering
Band(Heft): 46
Heft: 9
Seite(n): 1004
Seiten bis: 1023
Erscheinungsdatum: 2018
Verlag / Hrsg. Institution: IEEE
ISSN: 0098-5589
1939-3520
Sprache: Englisch
Fachgebiet (DDC): 005: Computerprogrammierung, Programme und Daten
Zusammenfassung: Application Programming Interfaces (APIs) represent key tools for software developers to build complex software systems. However, several studies have revealed that even major API providers tend to have incomplete or inconsistent API documentation. This can severely hamper the API comprehension and, as a consequence, the quality of the software built on them. In this paper, we propose DRONE (Detect and Repair of dOcumentatioN dEfects), a framework to automatically detect and repair defects from API documents by leveraging techniques from program analysis, natural language processing, and constraint solving. Specifically, we target at the directives of API documents, which are related to parameter constraints and exception handling declarations. Furthermore, in presence of defects, we also provide a prototypical repair recommendation system. We evaluate our approach on parts of the well-documented APIs of JDK 1.8 APIs (including javaFX) and Android 7.0 (level 24). Across the two empirical studies, our approach can detect API defects with an average F-measure of 79.9%, 71.7%, and 81.4%, respectively. The API repairing capability has also been evaluated on the generated recommendations in a further experiment. User judgments indicate that the constraint information is addressed correctly and concisely in the rendered directives.
URI: https://digitalcollection.zhaw.ch/handle/11475/17312
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

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Zhou, Y., Yan, X., Chen, T., Panichella, S., & Gall, H. (2018). Automatic detection and repair recommendation of directive defects in Java API documentation. IEEE Transactions on Software Engineering, 46(9), 1004–1023. https://doi.org/10.1109/TSE.2018.2872971
Zhou, Y. et al. (2018) ‘Automatic detection and repair recommendation of directive defects in Java API documentation’, IEEE Transactions on Software Engineering, 46(9), pp. 1004–1023. Available at: https://doi.org/10.1109/TSE.2018.2872971.
Y. Zhou, X. Yan, T. Chen, S. Panichella, and H. Gall, “Automatic detection and repair recommendation of directive defects in Java API documentation,” IEEE Transactions on Software Engineering, vol. 46, no. 9, pp. 1004–1023, 2018, doi: 10.1109/TSE.2018.2872971.
ZHOU, Yu, Xin YAN, Taolue CHEN, Sebastiano PANICHELLA und Harald GALL, 2018. Automatic detection and repair recommendation of directive defects in Java API documentation. IEEE Transactions on Software Engineering. 2018. Bd. 46, Nr. 9, S. 1004–1023. DOI 10.1109/TSE.2018.2872971
Zhou, Yu, Xin Yan, Taolue Chen, Sebastiano Panichella, and Harald Gall. 2018. “Automatic Detection and Repair Recommendation of Directive Defects in Java API Documentation.” IEEE Transactions on Software Engineering 46 (9): 1004–23. https://doi.org/10.1109/TSE.2018.2872971.
Zhou, Yu, et al. “Automatic Detection and Repair Recommendation of Directive Defects in Java API Documentation.” IEEE Transactions on Software Engineering, vol. 46, no. 9, 2018, pp. 1004–23, https://doi.org/10.1109/TSE.2018.2872971.


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