DaVinci External Components 2.15.1

This installer contains all external libraries and tools that are required to make projects with DaVinci products.

This setup will install the following mandatory components:

  • Microsoft Visual C++ Runtime 2005
  • Microsoft Visual C++ Runtime 2008
  • Microsoft Visual C++ Runtime 2010
  • Microsoft Visual C++ Runtime 2013
  • Microsoft Visual C++ Runtime 2015-2019
  • Microsoft .NET Framework 2.0 SP2
  • Microsoft .NET Framework 4.7.2
  • Microsoft MSXML 4.0 Parser
  • Microsoft MSXML 6.0 Parser
  • CodeMeter Runtime Kit - Version 7.10.4196.501
    Base library for the new Vector licenses
  • Vector DaVinci 64 Bit Support - Version 1.2.1.0
    Base library for licenses of 64 bit tools
  • Vector DaVinci Project Assistant - Version 1.11.19.0
    Component registration for project interaction between DaVinci Configurator and DaVinci Developer

This setup will install the following components for specific DaVinci use-cases:

  • Vector CANdelaPersistors - Version 13.0.1100.0
    Import of diagnostics files in the DaVinci Configurator
  • Vector DaVinci Difference Analyzer - Version 2.9.4.0
    Presentation of differences in ARXML files as stand-alone tool and in DaVinci Developer

This setup will install the following optional components:

  • IronPython 2.7.5
    Base library for the Vector AUTOSAR Scripting Engine
  • Vector License Manager - Version 1.4.1100.0
    Activation of old FlexNet licenses
  • Vector License Client - Version 5.3.1.0
    Activation of new Vector licenses
  • Vector DaVinci Floating License Manager - Version 1.5.0.0
    Activation of FlexNet floating licenses
  • Vector Eparm (DaVinci Configurator Pro .MD) - Version 3.1.1.0
    Editor for modifying BSWMD files
  • Vector AUTOSAR XML Editor - Version 1.2.2.0
    Generic ARXML editor
  • Vector AUTOSAR Scripting Engine - Version 2.0.7.0
    Modification of ARXML files via a scripting API, which may be integrated in the DaVinci Configurator workflow

 

Categoria : Service Pack
Tamanho : 541.64 MB
MD5 hash : 1e9fed17853100f1d295ea98722d9759
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