| 1. | Generating a dynamic call graph
生成动态调用图。 |
| 2. | Using this construct , you can ask for the call graph to be truncated to arbitrary depths
通过使用这个结构，您可以把调用图截取到任意深度。 |
| 3. | Let s dig into graphviz to understand how a call graph is generated from the connectivity matrix
让我们深入研究graphviz ，了便理解如何从连通矩阵生成一个调用图。 |
| 4. | Time - based profiling , performance counter - based profiling , annotated call graph of kernel space only
基于时间的概要分析、基于性能计数器概要分析、仅关于内核空间的带注释的调用图（ annotated call graph ， acg ） |
| 5. | With the modules and tools provided by suif2 , we implemented an algorithm to construct call multigraph , and verified results
利用suif2环境提供的模块和工具，我们实现了一个调用图的构造算法，并对算法做了验证。 |
| 6. | To capture and display a call graph , you need four elements : a gnu compiler toolchain , the addr2line utility , custom glue code , and a tool called graphviz
为了捕获并显示调用图，您需要4个元素： gnu编译器工具链、 addr2line工具、定制的中间代码和一个名为graphviz的代码。 |
| 7. | In this section , you ll learn how to generate a dynamic call graph , which is a nested trace that depicts the pushing and popping of frames on the execution stack as a use - case runs from start to finish
在本节中，您将学习如何生成一个动态的调用图，它是一个嵌套的跟踪轨迹，描绘了用例从开头运行到结尾的过程中，堆栈帧在执行堆栈上压入和弹出的过程。 |
| 8. | The tree - based approach used for jibx code generation ends up constructing methods in this depth - first order anyway , so the duplicate checks work as long as there are no cycles in the method call graphs mutually recursive methods
Jibx代码生成所使用的基于树的方法总能按照深度优先顺序构造方法；如果在方法调用图中没有循环（方法的相互调用） ，重复检查是有效的。 |
| 9. | This is useful in such situations as where the control flow is running through a large loop , causing the same call graph output to be repeated over and over again which in turn leads to an increased graph size and consequent reduced usefulness
这对于如下情形是很有用的，其中控制流完整运行一个较大的循环，导致相同的调用图输出一次又一次地重复（这反过来又导致图的尺寸增大，从而降低了其适用性） 。 |
| 10. | We present some classical theories about interprocedural analysis and optimization , including call multigraph construction , inline substitution and procedure cloning , and interprocedural information ( side - effect summary sets , alias information and interprocedural constant )
然后，我们对过程间分析和优化的一些经典的理论，包括调用图的构造，内联替换和过程克隆，过程间信息（副作用摘要集合，别名和过程间常量）作了介绍。 |
