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| estimating software maintenance effort from use cases: an industrial case study | |
| Ku Yan; Du Jing; Yang Ye; Wang Qing | |
| 2011 | |
| Conference Name | 27th IEEE International Conference on Software Maintenance, ICSM 2011 |
| Source | IEEE International Conference on Software Maintenance, ICSM |
| Pages | 482-491 |
| Conference Date | September |
| Conference Place | Williamsburg, VA, United states |
| Indexed Type | EI |
| ISBN | 9781457706646 |
| Department | (1) Lab. for Internet Software Technologies Institute of Software Chinese Academy of Sciences Beijing China |
| English Abstract | 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. |
| Keyword | Estimation Industrial Applications Industry Life Cycle Regression Analysis |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16269 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
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