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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 ...
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.
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 ...
Time travel debugging or time traveling debugging is the process of stepping back in time through source code to understand what is happening during execution of a computer program. [1] Typically, debugging and debuggers , tools that assist a user with the process of debugging, allow users to pause the execution of running software and inspect ...
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Core dumps can serve as useful debugging aids in several situations. On early standalone or batch-processing systems, core dumps allowed a user to debug a program without monopolizing the (very expensive) computing facility for debugging; a printout could also be more convenient than debugging using front panel switches and lights.
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.
The delta debugging algorithm isolates failure causes automatically by systematically narrowing down failure-inducing circumstances until a minimal set remains. For example, if you can supply a test case that will produce the bug you are looking for, then you can feed that to the delta debugging algorithm, which will then trim lines of code ...