QQ客服 官方微博 反馈留言

	Can requirements dependency network be used as early indicator of software integration bugs?
	Wang, Junjie (1) ; Li, Juan (1) ; Wang, Qing (1) ; Yang, Da (1) ; Zhang, He (4) ; Li, Mingshu (1)
	2013
会议名称	2013 21st IEEE International Requirements Engineering Conference, RE 2013
会议日期	July 15, 2013 - July 19, 2013
会议地点	Rio de Janeiro, Brazil
页码	185-194
中文摘要	Complexity cohesion and coupling have been recognized as prominent indicators for software quality. One characterization of software complexity is the existence of dependency relationship. Moreover, degree of dependency reflects the cohesion and coupling between software elements. Dependencies on design and implementation phase have been proven as important predictors for software bugs. We empirically investigated how requirements dependencies correlate with and predict software integration bugs, which can provide early estimate regarding software quality, therefore facilitate decision making early in the software lifecycle. We conducted network analysis on requirements dependency networks of two commercial software projects. We then performed correlation analysis between network measures (e.g., degree, closeness) and number of bugs. Afterwards, bug prediction models were built using these network measures. Significant correlation is observed between most of our network measures and number of bugs. These network measures can predict the number of bugs with high accuracy and sensitivity. We further identified the significant predictors for bug prediction. Besides, the indication effect of network measures on bug number varies among different types of requirements dependency. These observations show that requirements dependency network can be used as an early indicator of software Integration bugs, © 2013 IEEE.
英文摘要	Complexity cohesion and coupling have been recognized as prominent indicators for software quality. One characterization of software complexity is the existence of dependency relationship. Moreover, degree of dependency reflects the cohesion and coupling between software elements. Dependencies on design and implementation phase have been proven as important predictors for software bugs. We empirically investigated how requirements dependencies correlate with and predict software integration bugs, which can provide early estimate regarding software quality, therefore facilitate decision making early in the software lifecycle. We conducted network analysis on requirements dependency networks of two commercial software projects. We then performed correlation analysis between network measures (e.g., degree, closeness) and number of bugs. Afterwards, bug prediction models were built using these network measures. Significant correlation is observed between most of our network measures and number of bugs. These network measures can predict the number of bugs with high accuracy and sensitivity. We further identified the significant predictors for bug prediction. Besides, the indication effect of network measures on bug number varies among different types of requirements dependency. These observations show that requirements dependency network can be used as an early indicator of software Integration bugs, © 2013 IEEE.
收录类别	EI
会议录出版地	IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States
语种	英语
ISBN号	9781467357654
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/16639]
专题	软件研究所_软件所图书馆_会议论文
推荐引用方式 GB/T 7714	Wang, Junjie ,Li, Juan ,Wang, Qing ,et al. Can requirements dependency network be used as early indicator of software integration bugs?[C]. 见:2013 21st IEEE International Requirements Engineering Conference, RE 2013. Rio de Janeiro, Brazil. July 15, 2013 - July 19, 2013.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。