计算机与数字工程2016，Vol.44Issue(8)：1532-1534,1570,4.DOI:10.3969/j.issn.1672-9722.2016.08.028
基于分类的软件缺陷严重性预测
Severity Prediction of Software Defects Based on Classification
王婧宇 1张欣 2邹卫琴3
作者信息
- 1. 南京市产品质量监督检验院 南京 210028
- 2. 大连理工大学软件学院 大连 116621
- 3. 江西理工大学 南昌 330000
- 折叠
摘要
Abstract
In software development ,the debugging of software defects is an important part to guarantee the software’s quality .However ,with the rapid increase of software scale ,the more and more defects numbers and the limitation of human and material resources ,reported software bugs cannot be all debugged .To guarantee the quality of software ,software de-fects are prioritized ,focusing the limited source on the debugging of software defects with high priority .The severity of soft-ware defects is an important standard for prioritization .In recent years ,predicts of the severity of software defects have been state-of-the-arts .The principal aspect of predicting is based on the classification ,which means building a model and predic-ting based on current machine learning algorithms with the reports including defect description working as documents ,severi-ty as tag .This article gives a brief introduction of on prediction the severity of software defects based on classification ,inclu-ding the existing research results ,the framework based on classification and future work .关键词
软件缺陷/缺陷严重性/分类Key words
software defects/severity/classification分类
信息技术与安全科学引用本文复制引用
王婧宇,张欣,邹卫琴..基于分类的软件缺陷严重性预测[J].计算机与数字工程,2016,44(8):1532-1534,1570,4.
