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Grey Prediction Based Software Stage-Effort Estimation 被引量：3

Grey Prediction Based Software Stage-Effort Estimation
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摘要 The software stage-effort estimation can be used to dynamically adjust software project schedule, further to help make the project finished on budget. This paper presents a grey model Verhulst based method for stage-effort estimation during software development process, a bias correction technology was used to improve the estimation accuracy. The proposed method was evaluated with a large-scale industrial software engineering database. The results are very encouraging and indicate the method has considerable potential. The software stage-effort estimation can be used to dynamically adjust software project schedule, further to help make the project finished on budget. This paper presents a grey model Verhulst based method for stage-effort estimation during software development process, a bias correction technology was used to improve the estimation accuracy. The proposed method was evaluated with a large-scale industrial software engineering database. The results are very encouraging and indicate the method has considerable potential.
作者 WANG Yong SONG Qinbao SHEN Junyi
机构地区 Department of Computer Science
出处 《Wuhan University Journal of Natural Sciences》 CAS 2007年第5期927-931,共5页 武汉大学学报（自然科学英文版）
基金 Supported by the National Natural Science Foundation of China (60673124) the National High Technology Research and Development Program of China (863 Program)(2006AA01Z183).
关键词 project management software engineering sorftware effort estimation grey model project management software engineering sorftware effort estimation grey model
分类号 TP311.5 [自动化与计算机技术—计算机软件与理论]
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参考文献10

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同被引文献25

  • 1何晓阳,王亚沙.基于模型的软件成本估计方法[J].计算机研究与发展,2006,43(5):777-783. 被引量：10
  • 2李明树,何梅,杨达,舒风笛,王青.软件成本估算方法及应用[J].软件学报,2007,18(4):775-795. 被引量：66
  • 3[印]Pankaj Jalote著,施平安译.软件项目管理实践[M].北京:清华大学出版社,2003:1-3.
  • 4Nan--Hsing Chiua and Sun--Jen Huang. The adjusted analogy--based software effort estimation based on similarity distances [J]. Journal of Systems and Software, April 2007, 80(4): 628--640.
  • 5Zhangjunguang LvTingjie.Method Study of Software Project Monitoring and Control .中国管理科学,:127-132.
  • 6Sun -Jen Huanga. A comparative evaluation on the accuracies of software effort estimates from clustered data [J]. Information and Software Technology, 2008, 50 (9) :879--888.
  • 7Verner J M, Evanco W M, Cerpa N. State of the practice: an exploratory analysis of schedule estimation and software project success prediction[J]. Information and Software Technology, 2007, 49 (2) : 181-- 193.
  • 8Martin R. Evaluation of Current Software Costing Tools [J]. ACM Sigsoft Notes, 1988, 13(3): 49--51.
  • 9Herroelen, Roel Leus. On the merits and pitfalls of critical chain scheduling[J]. Journal of Operations Management, 2001, 19:559--577.
  • 10Matson J, Barret B, Melliehamp J. Software Development Cost Estimation Using Funtion Points [J]. IEEE Transactions on Software Engineering, 1994, 20 (4): 275--287.

引证文献3

二级引证文献11

Wuhan University Journal of Natural Sciences
2007年 第5期

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