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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 ...
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.
The Wing Python IDE is a family of integrated development environments (IDEs) from Wingware created specifically for the Python programming language with support for editing, testing, debugging, inspecting/browsing, and error-checking Python code.
An article in "Airforce" (June 1945 p. 50) refers to debugging aircraft cameras. The seminal article by Gill [3] in 1951 is the earliest in-depth discussion of programming errors, but it does not use the term bug or debugging. In the ACM's digital library, the term debugging is first used in three papers from 1952 ACM National Meetings.
Python Tools for Visual Studio (PTVS) is a free and open-source plug-in for versions of Visual Studio up to VS 2015 providing support for programming in Python. Since VS 2017, it is integrated in VS and called Python Support in Visual Studio. It supports IntelliSense, debugging, profiling, MPI cluster debugging, mixed C++/Python debugging, and ...
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
It is source-language independent, and can read debugger information and use it at runtime through the TestComplete Debug Info Agent. Test Visualizer – TestComplete automatically captures screenshots during test recording and playback. This enables quick comparisons between expected and actual screens during test.
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.