基于贝叶斯网的业务端编程方法

Business end programming approach based on Bayesian network

针对现有的业务端编程方法缺乏对于没有软件开发背景的最终用户的指导机制,提出了一种基于贝叶斯网的业务端编程方法.首先提出了一种基于贝叶斯网的最终用户编程基本框架,然后基于贝叶斯网结构学习方法和过程日志建立了用来支撑业务端编程的领域专家系统,在此基础上提出了以领域专家系统为核心的启发式业务端编程方法.该方法在编程过程中依赖领域专家系统对最终用户推荐业务活动,提供实时指导,帮助最终用户逐步完成应用系统的构造.最后对该方法的有效性进行了定性的评估和分析,结果表明,基于贝叶斯网的业务端编程方法可以在一定程度上提高最终用户编程的效率.

Existing business end programming methods lack guidance for end-users without development experience. So a business end programming approach based on Bayesian network was proposed. First, a basic framework based on Bayesian network for end-users programming was presented. Then the domain expert sys- tem which is used to support the business end programming approach was established based on Bayesian struc- ture learning method and process logs. On this basis, a heuristic method for business end programming taking domain expert system as core component was proposed. This method could recommend business activities to end-users in the process of programming relying on domain expert systems. It also provided real-time guidance and help end-users to complete programming step by step. Finally, the efficiency of the method was evaluated and analyzed, and the results show that the business end programming method based on Bayesian network could improve the efficiency of end-users programming to a certain extent.