求翻译！谢谢了！

Posted 2023-02-17

本文建立了一个基于解空间树、知识库、案例库和测试权值技术的测试用例自动生成的系统。这种系统化通过对被测程序建立大量测试用例生成规则，从规则中进而生成测试用例。知识库保证测试的可靠性，案例库保证测试利用的重用性，利用解空间树的遍历推理技术保证测试充分性，测试权值技术能够利用测试工程师的知识、经验和技巧指导测试用例的生成，提高测试用例的效率。
但是，这种方法需要测试人员对软件程序和需求文档进行深入分析，给出大量程序规则。提取规则谓词行程解空间树也需要一定的专业基础。并且这种测试用例的通用性、适用性受到一定专家知识的局限，今后我们主要研究结合其他的人工智能技术如遗传算法（GA）、人工神经网络（ANN）、模拟退火算法等，使得测试用例的自动生成更加完善和高效。
不要用软件翻译，好吗？

本文建立了一个基于解空间树、知识库、案例库和测试权值技术的测试用例自动生成的系统。这种系统化通过对被测程序建立大量测试用例生成规则，从规则中进而生成测试用例。知识库保证测试的可靠性，案例库保证测试利用的重用性，利用解空间树的遍历推理技术保证测试充分性，测试权值技术能够利用测试工程师的知识、经验和技巧指导测试用例的生成，提高测试用例的效率。
This paper sets up a test case auto-generated system based on solution space tree, knowledge database, case study library and testing weight technique. By establishing a large number of rules of test cases for the tested program, this system then generates test cases from the rules. With the knowledge database ensuring the reliability of the tests, case study library ensuring the reusability for testing, and the traversal inference technique of the solution space tree ensuring test adequacy, this testing weight technique can apply the knowledge, experience and skills of the test engineer to guide the generation of test cases, and enhance the efficacy of the test cases.

但是，这种方法需要测试人员对软件程序和需求文档进行深入分析，给出大量程序规则。提取规则谓词行程解空间树也需要一定的专业基础。并且这种测试用例的通用性、适用性受到一定专家知识的局限，今后我们主要研究结合其他的人工智能技术如遗传算法（GA）、人工神经网络（ANN）、模拟退火算法等，使得测试用例的自动生成更加完善和高效。
However, this method requires the testing personnel to conduct in-depth analysis on the software program and the requirement documents to provide a large number of procedural rules. Certain expertise foundation is required to extract the rules and create a solution space tree. Moreover, the versatility and applicability of this kind of test cases is confined by the knowledge of the experts. In order to improve the automatic generation of test cases to become more sophisticated and efficient, our future research will concentrate on combining other artificial intelligent technologies such as genetic algorithm (GA), artificial neural network (ANN) and simulated annealing algorithm (SAA).

【英语牛人团】 参考技术A 本文建立了一个基于解空间树、知识库、案例库和测试权值技术的测试用例自动生成的系统。这种系统化通过对被测程序建立大量测试用例生成规则，从规则中进而生成测试用例。知识库保证测试的可靠性，案例库保证测试利用的重用性，利用解空间树的遍历推理技术保证测试充分性，测试权值技术能够利用测试工程师的知识、经验和技巧指导测试用例的生成，提高测试用例的效率。

This paper established a tree based on the solution space, knowledge base, and test weights putted forward technical test cases to be automatic generating system. The systematic through the to be measured a program to create a test case generation rules, from rules and generation of test cases. Knowledge base guarantee the reliability of the test, the test USES putted forward, ensure the reuse, use of the solution space of the tree traverse reasoning technology to test the adequacy, test technology can use weights test engineering knowledge, experience and skill instruction of test cases to generate, improve the efficiency of the test cases.

但是，这种方法需要测试人员对软件程序和需求文档进行深入分析，给出大量程序规则。提取规则谓词行程解空间树也需要一定的专业基础。并且这种测试用例的通用性、适用性受到一定专家知识的局限，今后我们主要研究结合其他的人工智能技术如遗传算法（GA）、人工神经网络（ANN）、模拟退火算法等，使得测试用例的自动生成更加完善和高效

But, this kind of method need to test software program, and demand for personnel document analysis, give a large program rules. Rules were extracted predicate trip solution space tree also need certain professional foundation. And this kind of test cases of general applicability, by certain of limited knowledge of the experts, in the future, we research in combination with other artificial intelligence technology such as genetic algorithm (GA), artificial neural network (ANN), simulated annealing algorithm, making the test cases of the automatic generation of more perfect and high efficiency 参考技术B Based on the solution space tree, knowledge base, database and test weight technique test case automatic generation system. This system by testing procedures for the establishment of a large number of test cases generation rules, from the rules and test case generation. Knowledge base to ensure the reliability of the test case library, assurance test utilizing reusability, the solution space tree reasoning technology to ensure adequate testing, test weight technique can be used to test the knowledge, experience and skills to guide the generation of test case, improve the testing efficiency.
However, this method requires testing of software programs and requirements document carries on the thorough analysis, given the large number of rules of procedure. Extraction rules predicate travel solution space tree also needs certain professional basis. And the generality of the test case, applicability by expert knowledge limitations, we mainly study combined with other artificial intelligence techniques such as genetic algorithms ( GA ), artificial neural network ( ANN ), simulated annealing algorithm, the automatic generation of test cases is better and more efficient.追问

谢谢热心的你，但是 不是机器翻翻就行的！

参考技术C This paper established a tree based on the solution space, knowledge base, and test weights putted forward technical test cases to be automatic generating system. The systematic through the to be measured a program to create a test case generation rules, from rules and generation of test cases. Knowledge base guarantee the reliability of the test, the test USES putted forward, ensure the reuse, use of the solution space of the tree traverse reasoning technology to test the adequacy, test technology can use weights test engineering knowledge, experience and skill instruction of test cases to generate, improve the efficiency of the test cases.
But, this kind of method need to test software program, and demand for personnel document analysis, give a large program rules. Rules were extracted predicate trip solution space tree also need certain professional foundation. And this kind of test cases of general applicability, by certain of limited knowledge of the experts, in the future, we research in combination with other artificial intelligence technology such as genetic algorithm (GA), artificial neural network (ANN), simulated annealing algorithm, making the test cases of the automatic generation of more perfect and high efficiency.
亲~收我的吧追问

亲，我只能谢谢你的热心！

参考技术D The system automatically generate a solution space tree, knowledge base, case base and test weights, technology-based test cases. This systematic test case generation rules, through the establishment of the program under test and then generate test cases from the rule. Knowledge base to ensure the reliability of the test case library to ensure the reuse of test use, the solution space tree traversal reasoning techniques to ensure full test, test weights of test engineers can take advantage of knowledge, experience and skills to guide test case generation, improve the efficiency of the test cases.
However, this method requires in-depth analysis, given the large number of rules of procedure by the test software programs and requirements documents. Extraction rules predicate travel solution space tree also need to be professional basis. And versatility of this test case, the applicability subject to the limitations of some expert knowledge, we focus on in combination with other artificial intelligence technologies such as genetic algorithm (GA), artificial neural network (ANN), simulated annealing algorithm, making the test cases automatic generation of a more sophisticated and efficient. 第5个回答  2012-03-12 Based on the solution space tree, knowledge base, database and test weight technique test case automatic generation system. This system by testing procedures for the establishment of a large number of test cases generation rules, from the rules and test case generation. Knowledge base to ensure the reliability of the test case library, assurance test utilizing reusability, the solution space tree reasoning technology to ensure adequate testing, test weight technique can be used to test the knowledge, experience and skills to guide the generation of test case, improve the testing efficiency.However, this method requires testing of software programs and requirements document carries on the thorough analysis, given the large number of rules of procedure. Extraction rules predicate travel solution space tree also needs certain professional basis. And the generality of the test case, applicability by expert knowledge limitations, we mainly study combined with other artificial intelligence techniques such as genetic algorithms ( GA ), artificial neural network ( ANN ), simulated annealing algorithm, the automatic generation of test cases is better and more efficient.
希望能帮到你追问

孩子，有没有觉得答案跟前面的同学一下啊！我一查，你01年的，上面那个98年的！
不过还是谢谢你们的热心！