Super cooled M-phenylene diamine as a curing agent for epoxy resins
    2.
    发明授权
    Super cooled M-phenylene diamine as a curing agent for epoxy resins 失效
    作为环氧树脂固化剂的超冷M-苯二胺

    公开(公告)号:US4003876A

    公开(公告)日:1977-01-18

    申请号:US599297

    申请日:1975-07-25

    IPC分类号: C08G59/18 C08G59/50

    CPC分类号: C08G59/5033 C08G59/18

    摘要: A method for combining a curing agent with an epoxide resin which compris (a) heating a normally solid non-adulterated aromatic polyamine to a temperature above its melting point, (b) slowly cooling the melted aromatic polyamine to room temperature to form a stable supercooled liquid and (c) mixing the supercooled liquid with the expoxide resin.

    摘要翻译: 一种将固化剂与环氧树脂组合的方法,其包括:(a)将通常固体的非掺杂芳族多胺加热至高于其熔点的温度,(b)将熔融的芳族多胺缓慢冷却至室温,形成稳定的 过冷液体和(c)将过冷液体与过氧化物树脂混合。

    Automatic software testing tool
    5.
    发明授权
    Automatic software testing tool 失效
    自动软件测试工具

    公开(公告)号:US5754760A

    公开(公告)日:1998-05-19

    申请号:US655149

    申请日:1996-05-30

    IPC分类号: G06F11/36 G06F11/00

    CPC分类号: G06F11/3676

    摘要: A method of testing a software module using a genetic algorithm to generate a best test script is provided. The software module has a number of possible states. A set of state machines is created which represent a definition for either a user interface or an application program interface (API) of the software module in terms of the possible states. From the state machines, a set of test cases is automatically generated, such that each test case consists of code for manipulating the user interface or API. A genetic algorithm creates populations of test scripts from the test cases, in which each test script includes a number of test cases. Each test script from each successive generation of test scripts is executed by applying the script as input to the software module. A code coverage analyzer provides a measure of code coverage to the genetic algorithm for each test script. The genetic algorithm uses the measure of code coverage as a fitness value in generating future populations of test scripts and in determining a best script.

    摘要翻译: 提供了一种使用遗传算法测试软件模块来生成最佳测试脚本的方法。 软件模块有许多可能的状态。 创建一组状态机,它们表示软件模块的用户界面或应用程序接口(API)在可能状态方面的定义。 从状态机,自动生成一组测试用例,每个测试用例由用于操作用户界面或API的代码组成。 遗传算法从测试案例中创建测试脚本的群体,其中每个测试脚本包含许多测试用例。 通过将脚本作为输入应用到软件模块来执行每个连续生成的测试脚本中的每个测试脚本。 代码覆盖分析器为每个测试脚本提供遗传算法的代码覆盖度量度。 遗传算法使用代码覆盖度来衡量测试脚本的未来人群,并确定最佳脚本。