A class loading sensitive approach to detection of runtime type errors in component-based Java programs

ISCAS OpenIR

	A class loading sensitive approach to detection of runtime type errors in component-based Java programs
	Zhang, Wenbo (1); Zhou, Xiaowei (1); Zhang, Jianhua (1); Zhang, Zhenyu (1); Zhong, Hua (1); Zhang, W.(zhangwenbo@otcaix.iscas.ac.cn)
	2014
发表期刊	Information and Software Technology
ISSN	9505849
卷号	56 期号:9 页码:1076-1085
摘要	Context The employment of class loaders in component-based Java programs may introduce runtime type errors, which may happen at any statement related to class loading, and may be wrapped into various types of exceptions raised by JVM. Traditional static analysis approaches are inefficient to detect them. Objective Our previous work proposed a semi-static detection work based on points-to analysis to detect such runtime type errors. In this paper, we extend previous work by referencing the information obtained from class loading to detect runtime type errors in component-based Java programs, without the need to running them. Method Our approach extends the typical points-to analysis by gathering the behavior information of Java class loaders and figuring out the defining class loader of the allocation sites. By doing that, we obtain the runtime types of objects a reference variable may point to, and make use of such information to facilitate runtime type error detecting. Results Results on four case studies show that our approach is feasible, can effectively detect runtime errors missed by traditional static checking methods, and performs acceptably in both false negative test and scalability test. © 2014 Elsevier B.V. All rights reserved.; Context The employment of class loaders in component-based Java programs may introduce runtime type errors, which may happen at any statement related to class loading, and may be wrapped into various types of exceptions raised by JVM. Traditional static analysis approaches are inefficient to detect them. Objective Our previous work proposed a semi-static detection work based on points-to analysis to detect such runtime type errors. In this paper, we extend previous work by referencing the information obtained from class loading to detect runtime type errors in component-based Java programs, without the need to running them. Method Our approach extends the typical points-to analysis by gathering the behavior information of Java class loaders and figuring out the defining class loader of the allocation sites. By doing that, we obtain the runtime types of objects a reference variable may point to, and make use of such information to facilitate runtime type error detecting. Results Results on four case studies show that our approach is feasible, can effectively detect runtime errors missed by traditional static checking methods, and performs acceptably in both false negative test and scalability test. © 2014 Elsevier B.V. All rights reserved.
收录类别	SCI ; EI
关键词	Runtime Error Detection Class Loading Component-based
部门归属	(1) Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) Graduate University, Chinese Academy of Sciences, Beijing 100190, China; (3) State Key Laboratory of Computer Science, Beijing 100190, China
语种	英语
WOS记录号	WOS:000337783000002
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16834
专题	中国科学院软件研究所
通讯作者	Zhang, W.(zhangwenbo@otcaix.iscas.ac.cn)
推荐引用方式 GB/T 7714	Zhang, Wenbo ,Zhou, Xiaowei ,Zhang, Jianhua ,et al. A class loading sensitive approach to detection of runtime type errors in component-based Java programs[J]. Information and Software Technology,2014,56(9):1076-1085.
APA	Zhang, Wenbo ,Zhou, Xiaowei ,Zhang, Jianhua ,Zhang, Zhenyu ,Zhong, Hua ,&Zhang, W..(2014).A class loading sensitive approach to detection of runtime type errors in component-based Java programs.Information and Software Technology,56(9),1076-1085.
MLA	Zhang, Wenbo ,et al."A class loading sensitive approach to detection of runtime type errors in component-based Java programs".Information and Software Technology 56.9(2014):1076-1085.