文章基本信息

标题：Mining Software Quality from Software Reviews: Research Trends and Open Issues
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作者：Issa Atoum ; Ahmed Otoom
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：31
期号：2
页码：74-83
DOI：10.14445/22312803/IJCTT-V31P114
出版社：Seventh Sense Research Group
摘要：Software review text fragments have considerably valuable information about users‟ experience. It includes a huge set of properties including the software quality. Opinion mining or sentiment analysis is concerned with analyzing textual user judgments. The application of sentiment analysis on software reviews can find a quantitative value that represents software quality. Although many software quality methods are proposed they are considered difficult to customize and many of them are limited. This article investigates the application of opinion mining as an approach to extract software quality properties. We found that the major issues of software reviews mining using sentiment analysis are due to software lifecycle and the diverse users and teams.
关键词：Software Quality-in-use; Clustering; TopicModels; Opinion Mining Tasks