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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 ...
Code analysis C: Monitor automata Yes No No No Free OCaml: Windows, Unix related CADP: Plain and probabilistic LOTOS, FC2, FSP, LNT AFMC, MCL, XTL SB, WB, BB, OE, STE, WTE, SE, tau*E Yes Yes No Yes FUSC C, Bourne shell, Tcl/Tk, LOTOS, LNT macOS, Linux, Solaris, Windows CPAchecker: Code analysis C: Monitor automata Yes Yes No Yes Free Java Any ...
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 .
Qodana is a code quality analysis tool that uses static code analysis to help with users with code reviews, building quality gates, and the implementation of code quality guidelines. [42] It was publicly launched in July 2023 and can be used with IDEs in JetBrains's ecosystem, has CI/CD pipeline integration, while supporting code analysis in ...
PyCharm is an integrated development environment (IDE) used for programming in Python.It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with Django.
Understand is a customizable integrated development environment (IDE) that enables static code analysis through an array of visuals, documentation, and metric tools. [2] It was built to help software developers comprehend, maintain, and document their source code. [3]
Identifying a software bug (or a code smell) and then debugging (or refactoring) the software is largely a manual and labor-intensive endeavor, though the process is tool-supported. One objective of SBSE is to automatically identify and fix bugs (for example via mutation testing ).