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检索条件"主题词=Toward a K-means clustering approach to adaptive random testing for object-oriented software"
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toward a k-means clustering approach to adaptive random testing for object-oriented software
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Science China(Information Sciences) 2019年 第11期62卷 204-205页
作者: Jinfu CHEN Minmin ZHOU T H TSE Tsong Yueh CHEN Yuchi GUO Rubing HUANG Chengying MAO School of Computer Science and Communication Engineering Jiangsu University Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace Jiangsu University Department of Computer Science The University of Hong Kong Department of Computer Science and Software Engineering Swinburne University of Technology School of Software and Communication Engineering Jiangxi University of Finance and Economics
Dear editor,testing and debugging are mainstream methods for software quality assurance. In particular,random testing (RT, also known as fuzz testing) and partition testing (PT) are most widely adopted. Classical stud... 详细信息
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