A Visual Text Mining approach for Systematic Reviews

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 1900-01-01 DOI:10.1109/ESEM.2007.21

V. Malheiros, E. Höhn, R. Pinho, Manoel G. Mendonça, J. Maldonado

引用次数: 123

Abstract

The software engineering research community has been adopting systematic reviews as an unbiased and fair way to assess a research topic. Despite encouraging early results, a systematic review process can be time consuming and hard to conduct. Thus, tools that help on its planning or execution are needed. This article suggests the use of visual text mining (VTM) to aid systematic reviews. A feasibility study was conducted comparing the proposed approach with a manual process. We observed that VTM can contribute to systematic review and we propose a new strategy called VTM-Based systematic review.

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用于系统评论的可视化文本挖掘方法

软件工程研究界一直采用系统评审作为一种公正公正的方法来评估研究课题。尽管早期的结果令人鼓舞，但系统的审查过程可能是耗时的，而且很难进行。因此，需要帮助其计划或执行的工具。本文建议使用视觉文本挖掘(VTM)来辅助系统评审。对该方法与手工工艺进行了可行性研究。我们观察到VTM有助于系统评价，并提出了一种新的策略，称为基于VTM的系统评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)

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