摘要
为了帮助项目经理合理选择TDD实施模块,基于进程代数方法对测试驱动软件开发过程和非测试驱动软件开发过程建立过程仿真模型。通过用例度量软件模块的复杂性来获取随机变量参数对模型调参,并采用该模型得到仿真结果。提出TDD模块选取算法来分析仿真结果并得出最佳TDD实施策略,最终为项目经理提供合理的决策。
In order to help PM selecting the best TDD implement components,this paper developed a simulation model of TDD based on stochastic process algebra. The model was tuned using stochastic parameters derived from complexity metrics of using cases. This paper used this model to getting simulation results. The simulation results could be analyzed to get an optimal TDD development strategy. Ultimately the strategy could provide decision support for project managers.
出处
《计算机应用研究》
CSCD
北大核心
2010年第8期2948-2952,2958,共6页
Application Research of Computers
基金
国家自然科学基金资助项目(90718042
60903051)
国家"863"计划资助项目(2007AA010303)
国家"973"重点基础研究发展计划基金资助项目(2007CB310802)
中国科学院知识创新工程领域前沿资助项目(ISCAS09-DR09)
关键词
软件过程
随机进程代数
测试驱动开发
仿真
决策支持
software process
stochastic process algebra
test driven develop
simulation
decision support
