公开(公告)号：US20060224359A1

公开(公告)日：2006-10-05

申请号：US11098824

申请日：2005-04-05

申请人： Kenneth Ashcraft ,  Flavio Bergamaschi ,  Viktors Bertsis ,  Erin Burke ,  Duy Huynh ,  Santhosh Rao ,  Duc Vianney ,  Peter Wong

发明人： Kenneth Ashcraft ,  Flavio Bergamaschi ,  Viktors Bertsis ,  Erin Burke ,  Duy Huynh ,  Santhosh Rao ,  Duc Vianney ,  Peter Wong

IPC分类号： G21C17/00

CPC分类号： G06F11/3696 ,  G06F8/71 ,  G06F11/3672 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

摘要： A method and system to minimize to redundancy in testing a new software system by utilizing a knowledge base is provided. The knowledge base may be represented in a form of a decision tree including leaf nodes which store previously tested optimal configurations. When the knowledge base does not contain an optimal configuration for the new software, an optimal solution for the new software system may be determined by adding a further decision tree branch to the initial decision tree. A desirable tree branch may be selected from a table including a predetermined set of desirable tree branches for each category of software. As a result, the number of solutions to be tested on the input software may be limited and cost and effort to run redundant tests on a software system may be reduced.

摘要翻译： 提供了一种通过利用知识库来最小化测试新软件系统的冗余的方法和系统。 知识库可以以包括存储先前测试的最佳配置的叶节点的决策树的形式来表示。 当知识库不包含新软件的最佳配置时，可以通过向初始决策树添加进一步的决策树分支来确定新软件系统的最佳解决方案。 可以从包括每个类别的软件的预定的一组期望的树枝的表中选择期望的树枝。 因此，可以限制在输入软件上测试的解决方案的数量，并且可以降低在软件系统上运行冗余测试的成本和努力。