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Moose is a free and open source platform for software and data analysis built in Pharo. Moose offers multiple services ranging from importing and parsing data, to modeling, to measuring, querying, mining, and to building interactive and visual analysis tools.
MOOSE makes use of the PETSc non-linear solver package and libmesh to provide the finite element discretization. A key design aspect of MOOSE is the decomposition of weak form residual equations into separate terms that are each represented by compute kernels. The combination of these kernels into complete residuals describing the problem to be ...
gretl is an example of an open-source statistical package. ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free ...
Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1]The choice of the test depends on many properties of the research question.
Software testing can provide objective, independent information about the quality of software and the risk of its failure to a user or sponsor. [1] Software testing can determine the correctness of software for specific scenarios but cannot determine correctness for all scenarios. [2] [3] It cannot find all bugs.
"A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology. 21 (2). Archived from the original (PDF) on October 25, 2005.
In software engineering, code coverage, also called test coverage, is a percentage measure of the degree to which the source code of a program is executed when a particular test suite is run. A program with high code coverage has more of its source code executed during testing, which suggests it has a lower chance of containing undetected ...
ISO/IEC/IEEE 29119 Software and systems engineering -- Software testing [1] is a series of five international standards for software testing.First developed in 2007 [2] and released in 2013, the standard "defines vocabulary, processes, documentation, techniques, and a process assessment model for testing that can be used within any software development lifecycle."