High-confidence software evolution

CORC > 北京大学 > 信息科学技术学院

	High-confidence software evolution
	Gao Qing ; Li Jun ; Xiong Yingfei ; Hao Dan ; Xiao Xusheng ; Taneja Kunal ; Zhang Lu ; Xie Tao
刊名	Science China. Information Science
	2016
关键词	software evolution high confidence software quality software development program analysis
英文摘要	Software continues to evolve due to changing requirements, platforms and other environmental pressures. Modern software is dependent on frameworks, and if the frameworks evolve, the software has to evolve as well. On the other hand, the software may be changed due to changing requirements. Therefore, in high-confidence software evolution, we must consider both framework evolution and client evolution, each of which may incur faults and reduce software quality. In this article,we present a set of approaches to address some problems in high-confidence software evolution. In particular, to support framework evolution, we propose a history-based matching approach to identify a set of transformation rules between different APIs, and a transformation language to support automatic transformation. To support client evolution for high-confidence software, we propose a path-exploration-based approach to generate tests efficiently by pruning paths irrelevant to changes between versions, several coverage-based approaches to optimize test execution, and approaches to locate faults and fix memory leaks automatically. These approaches facilitate high-confidence software evolution from various aspects.; supported by National Basic Research Program of China,National Natural Science Foundation of China,National Science Foundation,a Google Faculty Research Award; 中国科学引文数据库(CSCD); 7; 071101-1-071101-19; 59
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/478939]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Gao Qing,Li Jun,Xiong Yingfei,et al. High-confidence software evolution[J]. Science China. Information Science,2016.
APA	Gao Qing.,Li Jun.,Xiong Yingfei.,Hao Dan.,Xiao Xusheng.,...&Xie Tao.(2016).High-confidence software evolution.Science China. Information Science.
MLA	Gao Qing,et al."High-confidence software evolution".Science China. Information Science (2016).