Modern Linux C++ Debugging Tools: Internals & Usage | ACCU Talk

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核心调试概念
调试工具分类
动态检查器
GDB核心机制
信号处理细节
PTRACE核心调用
内部调试陷阱
信号与系统调用
优化与调试信息
先进调试技术

核心调试概念

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    调试是编程的核心,充分利用工具至关重要。

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    程序员依赖于抽象模型,但需了解底层机制。

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    模型失效时,调试工具用于定位现实与预期的偏差。

Proficiency in C++ programming, particularly understanding memory management (stack vs. heap), pointers, references, and common sources of undefined behavior.
Familiarity with the Linux command line and the C++ compilation toolchain, including compilation phases and the use of compiler flags (like '-g' and '-O').
Basic operating system concepts, including processes, multithreading, virtual memory, and how the OS manages program execution.
Fundamental debugging concepts such as what a breakpoint is, inspecting call stacks, and stepping through execution flow.
Advanced post-mortem debugging, such as analyzing system core dumps from production environments and writing custom Python scripts for GDB.
Deep-dive into debugger internals, exploring how the 'ptrace' system call works and how the DWARF debug information format maps machine code to source code.
Integrating static and dynamic analyzers (like Clang-Tidy, AddressSanitizer, and ThreadSanitizer) into automated continuous integration (CI/CD) pipelines.
Low-overhead performance profiling and kernel-level tracing using modern tools like 'perf', eBPF (Extended Berkeley Packet Filter), and Intel VTune Profiler.
1.7K views27likes1:29:06@Undo-ioOriginal Release: 2021-05-25

Modern Linux C++ debugging tools like GDB, Valgrind, AddressSanitizer, and time travel debuggers work by exploiting combinations of compiler features (DWARF debug info, optimization flags), OS mechanisms (ptrace for process control, signals for interruption), and CPU capabilities (debug registers, performance counters) to provide visibility into program execution, detect memory errors, and enable advanced debugging techniques such as stepping backward through program history.