Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management
IEEE T. Human-Machine Systems(2014)
摘要
Expert judgment is widely used for activity duration estimation in software project management. While there are both advantages and disadvantages of expert judgment-based estimation, we propose the use of fuzzy inference rules for semi-automatic estimation to reduce the potential negative aspects of the expert judgment-based estimation. Fourteen fuzzy inference rules are introduced to elicit and adjust expert tacit knowledge, and expert judgment-based estimation results are complemented by fuzzy inference rules. The results from expert judgment and fuzzy inference rules are compared with the expert judgment-based approach using surveys and one-on-one interviews with project managers from different disciplines through analyses with data from past software projects. The use of fuzzy inference rules improves the estimation accuracy of the expert judgment-based approach by 39.35%. The proposed approach facilitates the experts to derive a more realistic and reliable activity duration estimation in software project management.
更多查看译文
关键词
software management,reliable activity duration estimation,software project management,fuzzy inference rules,inference mechanisms,expert tacit knowledge,activity duration estimation,software schedule estimation,expert judgment-based estimation,fuzzy logic,project managers,semi-automatic estimation,expert judgment
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络