基于模型的测试是软件测试中一个重要分支,但随着模型规模的增大,测试用例生成也变得越来越困难.扩展有限状态机(extended finite state machine,EFSM)是一种广泛应用的模型,它是对有限状态机(finite state machine,FSM)的扩展,能够更...基于模型的测试是软件测试中一个重要分支,但随着模型规模的增大,测试用例生成也变得越来越困难.扩展有限状态机(extended finite state machine,EFSM)是一种广泛应用的模型,它是对有限状态机(finite state machine,FSM)的扩展,能够更精确地刻画软件系统的动态行为.对EFSM模型的测试主要包含2个部分:测试迁移路径的生成和覆盖测试迁移路径的测试数据的生成.基于搜索的方法已被应用于测试数据的生成.为了提高在大规模EFSM模型中测试用例生成的效率,在前期对EFSM模型非终止性研究新型依赖性分析和切片技术的基础上,提出了基于EFSM模型不定型切片的测试用例生成方法和测试用例补全方法.通过2个案例分析得出:基于模型切片可以更加准确地生成可行路径和提高测试强度.基于7个基准EFSM模型的实验结果表明,在大多数情况下,在切片上生成测试用例的效率都比在原模型上高.展开更多
JAPS is an automatic parallelizing system based on JAVA running on NOW. It implements the automatic process from dependence analysis to parallel execution. The current version of JAPS can exploit functional parallelis...JAPS is an automatic parallelizing system based on JAVA running on NOW. It implements the automatic process from dependence analysis to parallel execution. The current version of JAPS can exploit functional parallelism and the detection of data parallelism will be incorporated in the new version, which is underway. The framework and key techniques of JAPS are presented. Specific topics discussed are task partitioning, summary information collection, data dependence analysis, pre-scheduling and dynamic scheduling, etc.展开更多
文摘基于模型的测试是软件测试中一个重要分支,但随着模型规模的增大,测试用例生成也变得越来越困难.扩展有限状态机(extended finite state machine,EFSM)是一种广泛应用的模型,它是对有限状态机(finite state machine,FSM)的扩展,能够更精确地刻画软件系统的动态行为.对EFSM模型的测试主要包含2个部分:测试迁移路径的生成和覆盖测试迁移路径的测试数据的生成.基于搜索的方法已被应用于测试数据的生成.为了提高在大规模EFSM模型中测试用例生成的效率,在前期对EFSM模型非终止性研究新型依赖性分析和切片技术的基础上,提出了基于EFSM模型不定型切片的测试用例生成方法和测试用例补全方法.通过2个案例分析得出:基于模型切片可以更加准确地生成可行路径和提高测试强度.基于7个基准EFSM模型的实验结果表明,在大多数情况下,在切片上生成测试用例的效率都比在原模型上高.
文摘JAPS is an automatic parallelizing system based on JAVA running on NOW. It implements the automatic process from dependence analysis to parallel execution. The current version of JAPS can exploit functional parallelism and the detection of data parallelism will be incorporated in the new version, which is underway. The framework and key techniques of JAPS are presented. Specific topics discussed are task partitioning, summary information collection, data dependence analysis, pre-scheduling and dynamic scheduling, etc.
