estimating software maintenance effort from use cases: an industrial case study

ISCAS OpenIR

	estimating software maintenance effort from use cases: an industrial case study
	Ku Yan; Du Jing; Yang Ye; Wang Qing
	2011
会议名称	27th IEEE International Conference on Software Maintenance, ICSM 2011
会议录名称	IEEE International Conference on Software Maintenance, ICSM
页码	482-491
会议日期	September
会议地点	Williamsburg, VA, United states
收录类别	EI
ISBN	9781457706646
部门归属	(1) Lab. for Internet Software Technologies Institute of Software Chinese Academy of Sciences Beijing China
摘要	Software maintenance effort constitutes a major portion of the software lifecycle effort. Its estimation is vital for successful project planning and strategic resource allocation. In this paper, we conduct and report an industrial case study in this field. The data set was collected from an industrial software process management tool QONE (formerly SoftPM). The methodology proposed provides corresponding guidance for effort estimation in software evolutionary projects that employ use-cases in capturing maintenance requirements. And the model, constructed using the linear regression analysis and validated by the leave-one-out cross-validation, provides an effort prediction for the future maintenance of the project. The analysis results indicate that the methodology can be applied at an early stage of the project life cycle and provides a good tradeoff among simplicity, early-estimating and accuracy in one estimate. © 2011 IEEE.; Software maintenance effort constitutes a major portion of the software lifecycle effort. Its estimation is vital for successful project planning and strategic resource allocation. In this paper, we conduct and report an industrial case study in this field. The data set was collected from an industrial software process management tool QONE (formerly SoftPM). The methodology proposed provides corresponding guidance for effort estimation in software evolutionary projects that employ use-cases in capturing maintenance requirements. And the model, constructed using the linear regression analysis and validated by the leave-one-out cross-validation, provides an effort prediction for the future maintenance of the project. The analysis results indicate that the methodology can be applied at an early stage of the project life cycle and provides a good tradeoff among simplicity, early-estimating and accuracy in one estimate. © 2011 IEEE.
关键词	Estimation Industrial Applications Industry Life Cycle Regression Analysis
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16269
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Ku Yan,Du Jing,Yang Ye,et al. estimating software maintenance effort from use cases: an industrial case study[C],2011:482-491.