与交互式故障定位工具进行交互

Ferenc Horváth, Gergõ Balogh, Attila Szatmári, Q. Sarhan, Béla Vancsics, Árpád Beszédes
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引用次数: 1

摘要

基于谱的故障定位(SBFL)是目前国内外研究最多的故障定位方法之一。增加相关工具的实用性的一种可能性是在用户和核心FL算法之间引入交互性。在此设置中,开发人员向故障定位算法提供反馈,同时迭代算法建议的元素。这样,建议的元素可以受到影响,以期更早地到达故障元素(我们称之为建议的方法交互式故障定位,或iFL)。通过这项工作,我们想建议介绍我们在这一主题方面的最新成就。特别是,我们概述了基本方法,以及我们为在不同上下文中实际使用该方法而实现的支持工具:iFL4Eclipse用于使用Eclipse IDE的Java开发人员,CharmFL用于使用PyCharm IDE的Python开发人员。我们的目标是深入了解iFL方法的实用性和有效性,同时获得有价值的反馈。此外,通过演示,我们希望促进与研究人员对该主题的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interacting with interactive fault localization tools
Spectrum-Based Fault Localization (SBFL) is one of the most popular genres of Fault Localization (FL) methods among researchers. One possibility to increase the practical usefulness of related tools is to involve interactivity between the user and the core FL algorithm. In this setting, the developer provides feedback to the fault localization algorithm while iterating through the elements suggested by the algorithm. This way, the proposed elements can be influenced in the hope to reach the faulty element earlier (we call the proposed approach Interactive Fault Localization, or iFL). With this work, we would like to propose a presentation of our recent achievements in this topic. In particular, we overview the basic approach, and the supporting tools that we implemented for the actual usage of the method in different contexts: iFL4Eclipse for Java developers using the Eclipse IDE, and CharmFL for Python developers using the PyCharm IDE. Our aim is to provide an insight into the practicalities and effectiveness of the iFL approach, while acquiring valuable feedback. In addition, with the demonstration we would like to catalyse the discussion with researchers on the topic.
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