Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3220
Title: DRONE : a tool to detect and repair directive defects in Java APIs documentation
Authors : Zhou, Yu
Yan, Xin
Chen, Taolue
Panichella, Sebastiano
Gall, Harald
Proceedings: ICSE '19 proceedings of the 41st international conference on software engineering : companion proceedings
Pages : 115
Pages to: 118
Conference details: International Conference on Software Engineering (ICSE 2019), Montreal, Quebec, Canada, May 25 - 31, 2019
Publisher / Ed. Institution : IEEE
Publisher / Ed. Institution: Piscataway
Issue Date: 2019
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (publication)
Language : English
Subject (DDC) : 005: Computer programming, programs and data
Abstract: Application programming interfaces (APIs) documentation is the official reference of the APIs. Defects in API documentation pose serious hurdles to their comprehension and usage. In this paper, we present DRONE, a tool that can automatically detect the directive defects in APIs documents and recommend repair solutions to fix them. Particularly, DRONE focuses on four defect types related to parameter usage constraints. To achieve this, DRONE leverages techniques from static program analysis, natural language processing and logic reasoning. The implementation is based on the Eclipse-plugin architecture, which provides an integrated user interface. Extensive experiments demonstrate the efficacy of the tool.
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Publication type: Conference paper
DOI : 10.21256/zhaw-3220
ISBN: 978-1-7281-1764-5
URI: https://digitalcollection.zhaw.ch/handle/11475/17313
Appears in Collections:Publikationen School of Engineering

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