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an xUnit unit test framework for Bourne-based shell scripts bats-core [14] Bats-Core: Bash Automated Testing System ShellSpec [15] BDD style unit testing framework. Supports all POSIX compliant shells including Bash, Dash, Ksh and Zsh. Nestable blocks that realize local scope and easy mocking. Parallel execution. RSpec-like/TAP/JUnit XML Reporter.
xUnit is a label used for an automated testing software framework that shares significant structure and functionality that is traceable to a common progenitor SUnit.. The SUnit framework was ported to Java by Kent Beck and Erich Gamma as JUnit which gained wide popularity.
xUnit.net is a free and open-source unit testing tool for the .NET Framework, written by the original author of NUnit. The software can also be used with .NET Core and [ 2 ] Mono . It is licensed under Apache License 2.0 , and the source code is available on GitHub .
A growing trend in software development is the use of unit testing frameworks such as the xUnit frameworks (for example, JUnit and NUnit) that allow the execution of unit tests to determine whether various sections of the code are acting as expected under various circumstances.
Concurrent and parallel programming languages involve multiple timelines. Such languages provide synchronization constructs whose behavior is defined by a parallel execution model. A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a ...
In a parallel environment, both will have access to the same data. The "if" clause differentiates between the CPUs. CPU "a" will read true on the "if" and CPU "b" will read true on the "else if", thus having their own task. Now, both CPU's execute separate code blocks simultaneously, performing different tasks simultaneously. Code executed by ...
"Embarrassingly" is used here to refer to parallelization problems which are "embarrassingly easy". [4] The term may imply embarrassment on the part of developers or compilers: "Because so many important problems remain unsolved mainly due to their intrinsic computational complexity, it would be embarrassing not to develop parallel implementations of polynomial homotopy continuation methods."
The programming control structures on which autoparallelization places the most focus are loops, because, in general, most of the execution time of a program takes place inside some form of loop. There are two main approaches to parallelization of loops: pipelined multi-threading and cyclic multi-threading. [ 3 ]