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    Automatic detection and repair of directive defects of Java APIs documentation

    Zhou, Y. and Wang, C. and Yan, X. and Chen, Taolue and Panichella, S. and Gall, H.C. (2018) Automatic detection and repair of directive defects of Java APIs documentation. IEEE Transactions on Software Engineering , ISSN 0098-5589.

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    Abstract

    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 judgements indicate that the constraint information is addressed correctly and concisely in the rendered directives.

    Metadata

    Item Type: Article
    Additional Information: (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Dr Taolue Chen
    Date Deposited: 12 Oct 2018 12:30
    Last Modified: 09 Oct 2019 17:09
    URI: http://eprints.bbk.ac.uk/id/eprint/24493

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