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A debug symbol is a special kind of symbol that attaches additional information to the symbol table of an object file, such as a shared library or an executable. This information allows a symbolic debugger to gain access to information from the source code of the binary, such as the names of identifiers, including variables and routines.
Such information can also be used by other software tools. The information must be generated by the compiler and stored in the executable file or dynamic library by the linker. Some object file formats include debugging information, but others can use generic debugging data formats such as stabs and DWARF.
Data Display Debugger (GNU DDD) is a graphical user interface (using the Motif toolkit) for command-line debuggers such as GDB, [2] DBX, JDB, HP Wildebeest Debugger, [note 1] XDB, the Perl debugger, the Bash debugger, the Python debugger, and the GNU Make debugger. [4]
When stabs was created in the 1980s, the dominant object file format was a.out, which (unlike more recent formats such as ELF) makes no provision for storing debugging information. Stabs works around this problem by encoding the information using special entries in the symbol table .
A Byte of Python: Author: Swaroop C H: Software used: DocBook XSL Stylesheets with Apache FOP: Conversion program: Apache FOP Version 1.1: Encrypted: no: Page size: 595.275 x 841.889 pts (A4) Version of PDF format: 1.4
An early example of anti-debugging existed in early versions of Microsoft Word which, if a debugger was detected, produced a message that said, "The tree of evil bears bitter fruit. Now trashing program disk.", after which it caused the floppy disk drive to emit alarming noises with the intent of scaring the user away from attempting it again.
For example, external symbol tables can be loaded thereby using the function names of the original source code. Users have created plugins that allow other common scripting languages to be used instead of, or in addition to, IDC. IdaRUB [31] supports Ruby and IDAPython [32] adds support for Python. As of version 5.4, IDAPython (dependent on ...
In software engineering, rubber duck debugging (or rubberducking) is a method of debugging code by articulating a problem in spoken or written natural language. The name is a reference to a story in the book The Pragmatic Programmer in which a programmer would carry around a rubber duck and debug their code by forcing themselves to explain it ...