用ELICA进行启发式会议的动态可视化分析

Zahra Shakeri Hossein Abad, Munib Rahman, Abdullah Cheema, V. Gervasi, D. Zowghi, K. Barker
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引用次数: 3

摘要

在需要对手头的系统有深入的领域知识的项目中,需求引出是非常具有挑战性的。由于分析人员完全控制了启发过程,他们对所研究的系统缺乏知识,因此无法提出相关的问题,并降低了涉众提供的需求的准确性。我们提出ELIC,一个通用的交互式可视化分析工具,在需求引出过程中帮助分析人员。ELICA采用了一种新的基于加权有限状态传感器(WFSTs)(生成模型)和支持向量机(判别模型)相结合的信息提取算法。ELICA在交互式GUI中呈现提取的相关信息(包括缩放、平移和缩放),允许分析人员探索正在进行的对话(或规范文档)的哪些部分与提取的信息匹配。在这个演示中,我们证明了ELICA在实践中是可用的和有效的,并且能够实时提取相关信息。我们还演示了ELICA中精心设计的功能如何促进信息提取的交互式和动态过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Visual Analytics for Elicitation Meetings with ELICA
Requirements elicitation can be very challenging in projects that require deep domain knowledge about the system at hand. As analysts have the full control over the elicitation process, their lack of knowledge about the system under study inhibits them from asking related questions and reduces the accuracy of requirements provided by stakeholders. We present ELIC, a generic interactive visual analytics tool to assist analysts during requirements elicitation process. ELICA uses a novel information extraction algorithm based on a combination of Weighted Finite State Transducers (WFSTs) (generative model) and SVMs (discriminative model). ELICA presents the extracted relevant information in an interactive GUI (including zooming, panning, and pinching) that allows analysts to explore which parts of the ongoing conversation (or specification document) match with the extracted information. In this demonstration, we show that ELICA is usable and effective in practice, and is able to extract the related information in real-time. We also demonstrate how carefully designed features in ELICA facilitate the interactive and dynamic process of information extraction.
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