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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3218
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dc.contributor.authorZhou, Yu-
dc.contributor.authorYan, Xin-
dc.contributor.authorChen, Taolue-
dc.contributor.authorPanichella, Sebastiano-
dc.contributor.authorGall, Harald-
dc.date.accessioned2019-06-19T12:53:29Z-
dc.date.available2019-06-19T12:53:29Z-
dc.date.issued2018-
dc.identifier.issn0098-5589de_CH
dc.identifier.issn1939-3520de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/17312-
dc.description.abstractApplication 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.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.relation.ispartofIEEE Transactions on Software Engineeringde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleAutomatic detection and repair recommendation of directive defects in Java API documentationde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1109/TSE.2018.2872971de_CH
dc.identifier.doi10.21256/zhaw-3218-
zhaw.funding.euNode_CH
zhaw.issue9de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end1023de_CH
zhaw.pages.start1004de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.volume46de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.funding.snf200021_166275de_CH
zhaw.webfeedService Engineeringde_CH
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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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