How to use CNVC_CCE - Customizing Comparison Engine

SAP Transaction Code - Details

• Transaction Code: CNVC_CCE

  Description: Customizing Comparison Engine

  Release: S/4HANA and ECC 6

• • Program: CNVC_CCE_MENU

    Screen: 1000

    Authorization Object:

  • Development Package: CNVC_CCE

    Package Description: SHC - Customizing Comparison Engine

    Parent Package: CNVC_MAIN

  • Module/Component: CA-LT

    Description: Landscape Transformation

Smart SAP Assistant

• SAP Tcode: CNVC_CCE - Customizing Comparison Engine

  
  Overview:
  The SAP transaction code CNVC_CCE is used to access the Customizing Comparison Engine. This tool allows users to compare and analyze different versions of customizing objects in the SAP system. It is a useful tool for troubleshooting and debugging customizing objects. 
  
  Functionality: 
  The Customizing Comparison Engine allows users to compare two versions of a customizing object and analyze the differences between them. It can be used to identify errors in customizing objects, as well as to compare different versions of the same object. The comparison results can be viewed in a graphical format, making it easier to identify differences between the two versions. 
  
  Step-by-step How to Use: 
  1. Access the Customizing Comparison Engine by entering the transaction code CNVC_CCE in the command field. 
  2. Select the two versions of the customizing object that you want to compare. 
  3. Click on “Compare” to start the comparison process. 
  4. The comparison results will be displayed in a graphical format, allowing you to easily identify any differences between the two versions of the object. 
  5. If any errors are identified, they can be corrected by editing the relevant customizing objects. 
  
  Other Recommendations: 
  It is recommended that users take regular backups of their customizing objects before making any changes, so that they can easily revert back to a previous version if necessary. Additionally, users should always test their changes thoroughly before deploying them into production systems, as this will help ensure that any errors are identified and corrected before they cause any disruption to business operations.