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English: A PDF version of the en:Python Programming Wikibook. This file was created with MediaWiki to LaTeX . The LaTeX source code is attached to the PDF file (see imprint).
Algorithmic debugging (also called declarative debugging) is a debugging technique that compares the results of sub-computations with what the programmer intended. The technique constructs an internal representation of all computations and sub-computations performed during the execution of a buggy program and then asks the programmer about the correctness of such computations.
The debugging skill of the programmer can be a major factor in the ability to debug a problem, but the difficulty of software debugging varies greatly with the complexity of the system, and also depends, to some extent, on the programming language(s) used and the available tools, such as debuggers.
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.
Record and replay debugging is the process of recording the execution of a software program so that it may be played back within a debugger to help diagnose and resolve defects. [1] The concept is analogous to the use of a flight data recorder to diagnose the cause of an airplane flight malfunction.
Modern debugging data formats store enough information to allow source-level debugging. High-level debuggers need information about variables, types, constants, subroutines and so on, so they can translate between machine-level storage and source language constructs.
In computer programming, program slicing is the computation of the set of program statements, the program slice, that may affect the values at some point of interest, referred to as a slicing criterion. Program slicing can be used in debugging to locate source of errors more easily.