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CAST AI Administrator

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Introduction

Each CAST AIP release provides new features which improve the value of the platform and justify an upgrade. However, there are a number of changes or improvements which can impact the measurement results/grades:

  • New or improved Quality Rules to perform deeper analysis
  • Updates to the Assessment Model, e.g. changes to rule weights, severity or thresholds. This can be mitigated by using the "Preserve assessment model" option during the upgrade.
  • Improvements of the language analysis, e.g. more fine-grained detection of objects or links
  • Extended automatic discovery of files included in the analysis
  • Bug fixes to improve the precision of results
  • And, unfortunately, a new release may also introduce new bugs which may impact the results until they are discovered and removed

Below is a list of changes made to the current release of CAST AIP that are known to cause impacts to results. You can also consult Case Study - Measurement changes after upgrade for selected customer applications which provides a more detailed analysis based on a few sample applications.

Analyzing the root causes of impacts to measurement results/grades

The following is a general description of the steps that should be taken in order to compare pre and post upgrade results:

  • Step 1: Take a snapshot (including a source code analysis) with the previous release of CAST AIP before upgrading to the new release of CAST AIP
    • Check the list of applications to be analyzed, the list of files per application and list of SQL objects from the Analysis Service.
  • Step 2: Compare the source code in version 1 (before upgrade) with the source code in the new version 2 (after upgrade)
    • Compare the list of analyzed files, list of files per application and list of SQL objects between the two Analysis Services
  • Step 3: Compare the results of the application analysis and snapshot post upgrade. This can be done by comparing the snapshots available in the Dashboard Service to find the differences in:
    • Quality rules
    • Violations

    • Grades at Business Criteria level

    • Function Points

    • Transactions

    • Lines of code

  • Step 4: Compare the data functions and transactions across the source Analysis Service and the target Analysis Service post upgrade.