软件质量-in-use基准数据集

软件质量-in-use基准数据集是由马来西亚沙捞越大学计算机科学与信息技术学院创建的，旨在通过专家标注的软件评论来评估软件质量。该数据集包含2036条经过筛选和分类的软件评论，覆盖了多种软件类别，通过专家使用特定的标注方案进行标注。数据集的创建过程包括从Amazon和Cnet.com爬取评论，过滤非英语和无效内容，然后由三位专家进行标注和数据整合。该数据集主要用于评估软件质量模型，特别是在情感分析领域，以解决软件质量-in-use的测量问题。

The In-use Software Quality Benchmark Dataset was developed by the Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, aiming to evaluate software quality via expert-annotated software reviews. This dataset includes 2036 filtered and categorized software reviews covering diverse software categories, which were annotated by experts using a specific annotation scheme. The dataset construction process involves crawling reviews from Amazon and Cnet.com, filtering out non-English and invalid content, followed by annotation and data integration conducted by three experts. This dataset is primarily used to evaluate software quality models, especially in the field of sentiment analysis, to address the measurement problem of in-use software quality.