BUILDING A WEB EFFORT ESTIMATION MODEL THROUGH KNOWLEDGE ELICITATION
OBJECTIVE – The objective of this paper is to describe a case study where Bayesian Networks (BNs) were used to construct an expert-based Web effort model. METHOD – We built a single-company BN model solely elicited from expert knowledge, where the domain experts were two experienced Web project managers from a medium-size Web company in Auckland, New Zealand. This model was validated using data from eleven past finished Web projects. RESULTS – The BN model has to date been successfully used to estimate effort for numerous Web projects. CONCLUSIONS – Our results suggest that, at least for the Web Company that participated in this case study, the use of a model that allows the representation of uncertainty, inherent in effort estimation, can outperform expert-based estimates. Another nine companies have also benefited from using Bayesian Networks, with very promising results.
Web engineering Web effort estimation Expert-based effort models Knowledge elicitation Case studies
Emilia Mendes
Computer Science epartment, The University of Auckland, Auckland, New Zealand
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
201-208
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）