Dynamic Software Project Management using Bayesian Belief Network

• Main Authors: Chien-Yuan Chen, 陳建蒝
• Other Authors: Chin-Feng Fan
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/14389927869915867389

碩士 === 元智大學 === 資訊工程學系 === 89 === The difficulties of software project development is that there exist many uncertain factors during development process. Such uncertain factors may affect the quality of software products, and the effectiveness of the software process. This thesis addressed the issue by proposing dynamic software project management using BBN. Based on modularized Bayesian Belief Network, we proposed a BBN-based project risk management methodology, including risk assessment beforehand, dynamic resource adjustment using execution profile, and software metrics technique. Our risk assessment technique can be applied to answer what-if questions for particular issues before the project starts. Our resource adjustment technique dynamically readjust resource utilization based on resource cost-effectiveness during project execution. Our metrics technique using BBN focuses on traditional software metrics and object-oriented metrics, and provides a more objective assessment for software projects. The proposed techniques enhance the efficiency and success probabilities of software projects.