Bookmarks
David A. Wheeler's Review of Debugging by David J. Agans
It's not often you find a classic, but I think I've found a new classic for software and computer hardware developers. It's David J.
Intercepting and modifying Linux system calls with ptrace
Intercepting and modifying Linux system calls with ptrace
Hacking the OS X Kernel for Fun and Profiles Posted on Tuesday, August 13, 2013.
The article discusses a bug in the OS X kernel related to how profiling signals are delivered in multithreaded processes. It explains that the kernel incorrectly sends the SIGPROF signal to the entire process instead of the specific running thread. The author outlines a fix involving a small edit to the kernel code to ensure the signal is sent to the correct thread.
Debug your programs like they're closed source!
The author discusses debugging programs without looking at the source code by using system calls like open, execve, and write. System calls allow you to understand and monitor a program's behavior without needing access to its source code. By learning and utilizing system calls, you gain debugging superpowers that are platform-independent and useful for closed-source programs.
How I got better at debugging
Julia Evans shares her journey of improving her debugging skills through logical thinking, confidence, expanding knowledge, communication, and using tools like strace and tcpdump. By being systematic, confident, knowledgeable, and open to collaboration, she transformed debugging from a challenging task to an exciting learning opportunity. Her story emphasizes the importance of persistence, curiosity, and practical problem-solving in mastering the art of debugging.
the rr debugging experience
rr is a debugging tool for Linux that records failures for deterministic replay under gdb. It helps debug real applications efficiently and supports reverse execution for finding bugs. rr aims to make debugging easier with low overhead and powerful features like hardware data watchpoints.
A Few Billion Lines of Code Later: Using Static Analysis to Find Bugs in the Real World
The text discusses the development and commercialization of a bug-finding tool that can identify errors in large amounts of code. It highlights the challenges faced in finding and addressing various types of bugs, such as memory corruption and data races, across different programming systems. The tool's effectiveness in uncovering bugs in complex codebases emphasizes the importance of bug detection for improving software quality.
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