Circumstantial-evidence-based Judgment for Software Effort Estimation

摘要：

Expert judgment for software effort estimation is oriented toward direct evidences that refer to actual effort of similar projects or activities through experts experiences. However, the availability of direct evidences implies the requirement of suitable experts together with past data. The circumstantialevidence based judgment proposed in this paper focuses on the development experiences deposited in human knowledge, and can then be used to qualitatively estimate implementation effort of different proposals of a new project by rational inference. To demonstrate the process of circumstantial-evidence-based judgment, this paper adopts propositional learning theory based diagnostic reasoning to infer and compare different effort estimates when implementing a Web service composition project with some different techniques and contexts. The exemplar shows our proposed work can help determine effort tradeoff before project implementation. Overall, circumstantial-evidence-based judgment is not an alternative but complementary to expert judgment so as to facilitate and improve software effort estimation.

作者: Zheng Li Liam O’Brien He Zhang1

作者单位: NICTA, Sydney, Australia;School of CS, ANU, Canberra, Australia;School of CS, ANU, Canberra, Austral CSIRO, Canberra, Australia;School of CS, ANU, Canberra, Australia NICTA, Sydney, Australia;School of CSE, UNSW, Sydney, Australia

会议类型: 国际会议

会议名称: 13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

会议地点: 北京

会议语种:英文

页码: 1590-1599

在线出版日期: 2011-06-08（万方平台首次上网日期，不代表论文的发表时间）