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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 ...
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 was born in a research context, [1] and it is currently supported by several ...
Moose File System (MooseFS) is an open-source, POSIX-compliant distributed file system developed by Core Technology. MooseFS aims to be fault-tolerant , highly available, highly performing, scalable general-purpose network distributed file system for data centers .
A code quality analysis tool that uses static code analysis. RIPS: 2020-02-17 (3.4) No; proprietary — — Java — — — PHP A static code analysis solution with many integration options for the automated detection of complex security vulnerabilities. SAST Online: 2022-03-07 (1.1.0) No; proprietary — — Java — — — Kotlin, APK
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The software development process is a typical application of Fagan inspection. As the costs to remedy a defect are up to 10 to 100 times less in the early operations compared to fixing a defect in the maintenance phase, [1] it is essential to find defects as close to the point of insertion as possible.
In the table below, the column "ISO 8859-1" shows how the file signature appears when interpreted as text in the common ISO 8859-1 encoding, with unprintable characters represented as the control code abbreviation or symbol, or codepage 1252 character where available, or a box otherwise. In some cases the space character is shown as ␠.
As a form of static analysis, fully precise pointer analysis can be shown to be undecidable. [1] Most approaches are sound, but range widely in performance and precision. Many design decisions impact both the precision and performance of an analysis; often (but not always) lower precision yields higher performance. These choices include: [2] [3]