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    • 29. 发明授权
    • Method for automatic detection of build regressions
    • 自动检测构造回归的方法
    • US07496900B2
    • 2009-02-24
    • US10777743
    • 2004-02-12
    • Robert Tod DimpseyFrank Eliot LevineRobert John Urquhart
    • Robert Tod DimpseyFrank Eliot LevineRobert John Urquhart
    • G06F9/44
    • G06F11/36
    • A method and apparatus for automatically performing regression processing on trace data are provided. With the apparatus and method, call tree data structures are generated for two or more executions of two or more builds of a computer program. The apparatus and method perform a “tree-minimization” operation on each set of call tree data structures for each of the builds to generate minimized call tree data structures for each build of the computer program. The minimized call tree data structures are then subtracted from one another to generate a subtracted minimized call tree data structure. From this subtracted minimized call tree data structure, the portions of the computer program that are different from build to build and which appreciably and consistently affect the difference in execution of the computer program from build to build may be identified. Thus, the analyst's attention is directed to these areas of the computer program code which may be optimized in order to obtain better execution of the computer program.
    • 提供了一种用于自动执行跟踪数据的回归处理的方法和装置。 利用该设备和方法,生成两个或更多个计算机程序构建的两个或多个执行的调用树数据结构。 该装置和方法对每个构建的每一组呼叫树数据结构执行“树最小化”操作,以便为计算机程序的每个构建生成最小化的调用树数据结构。 然后将最小化的呼叫树数据结构从彼此中减去以产生减去最小化的呼叫树数据结构。 从该减去的最小化调用树数据结构中,可以识别与构建构建不同的计算机程序的部分,并且可以明确地和一致地影响计算机程序从构建到构建的执行的差异。 因此,分析师的注意力是针对计算机程序代码的这些区域,其可以被优化以便获得更好的计算机程序的执行。