Support MES Quality Commander® (MQC)

What is MQC?

MES Quality Commander® is a monitoring and management tool for the comprehensive quality assessment of model-based software development. User-friendly visualizations, evaluations, and data capturing assist the user to assess the current quality of artifacts and provide a status overview of the overall project quality. In addition, MQC shows the quality trend, which provides information about the progress of the project. MQC can be seamlessly integrated into any development environment or Continuous Integration.

What's New?

Highlights in MES Quality Commander® (MQC) v.4.1

Improved Configuration Dialogs
MQC settings dialogs have been redesigned for better usability, and are available in MQC editor as well as MQC web viewer.

Fine grained configuration of Context Categories
Context categories define the relations between artifacts and data sources, measurements, and base measures. They help to define and focus on the artifact-relevant data from the available data pool.

► Release Notes

System Requirements

The following system requirements must be in place to use MQC:

MQC Editor:

  • Windows (7 + 8 + 10 - 64-bit versions)
  • Microsoft .NET Framework 4.5.2 (or higher)
  • Microsoft Office 2007 (or higher)

Read more about detailed hardware requirements in the MQC User Guide.

Update to the Latest Version

MQC Editor:

  • On startup choose to login to the MQC Server instead of working offline.
  • In case of available updates, you will be automatically prompted to update.
  • Confirming the update will install the latest version of MQC.

For further information, please, check the installation instructions provided by the MQC User Guide.

Installation

MQC Editor:

  • Extract the MQC zip file (TIB_sfire-analyst_7.11.0_win.zip) into a target folder with write access.
  • Navigate to the …\TIB_sfire-analyst_7.11.0_win\Products\TIBCO Spotfire Installer\ directory
  • Execute the setup file (.exe)
  • Follow the installation instructions provided by the MQC User Guide.

Quick Start

The MQC User Guide includes a Quick Start Guide, which gives you an introduction into the functionality of the MES Quality Commander®. It shows you how to use MQC to analyse your project quality and data. In detail you are guided, how to:

  • Create a new analysis
  • Load your data into MQC
  • Configure MQC according to your project needs
  • Check trend and status of your project KPIs and quality
  • Identify root causes of insufficient quality

The data used for the Quick Start Guide can be downloaded as MQC sample data (zip file).

Suggestions

If you have any suggestions to help us improve the MES Quality Commander® (MQC), please do not hesitate to contact us:
Email: mqc@model-engineers.com

User Guide

The MQC User Guide presents clear instructions on how to work with the MES Quality Commander® (MQC). It provides users with information about getting started and working with MQC.

MQC User Guide

You can easily call the User Guide (PDF format) by clicking on “Help” > “User Guide for MES Quality Commander” in the menu.

Additionally, by clicking on any of the “Help” icons within the tool you will be directly lead into specific chapters resp. sections of the User Guide (HTML format) (see image).

Release Notes - MQC v.4.1 (December 2019)

Extended Configuration Dialogs

  • The user interface to configure MQC settings was reworked. All file and directory selections were redesigned for better usability. In addition, these dialogs are able to run in the web viewer as well as in the MQC editor. The formerly known data management panel is now the configuration panel.
  • The MQC page handling moved to the configuration panel as well (Pages section). All available standard, tool and user configured pages can now be opened, reopened or closed via the configuration panel.
  • The filter panel (on the right-hand side of the MQC pages) was redesigned for improved availability of necessary filtering options. The different structures of MQC (artifact, quality model, data, and milestone structure) are presented in a consistent layout.
  • The MQC toolbar (to switch on/off configuration and filter panel, and to access the MQC User Guide) moved to the top right (on top of the filter panel) without taking up any additional space.

Fine grained Configuration of Context Categories

  • Context categories are defined in the quality model configuration (sheet ContextCategory). Each context category can contain (white list) and exclude (black list) data sources, measurements and base measures. In the artifact structure configuration of the project configuration the context categories can be assigned to artifacts.
  • Extended the notification of the import of excluded data (by means of context categories).

Project Status Report Export to PDF and Made More Compact

  • The project status report can now be generated in PDF format as well. All formats from the HTML are retained as far as possible.
  • The information in the project status report is now more compact than before. One example is the table of missing data per artifact. If all base measures of a measurement or data source are missing, only this measurement or data source is mentioned. Another example is graphics without "information". These are replaced by a short informative note, which in many cases makes the report much shorter while still providing the same information.

Availability of Data Depends on Project Configuration

  • The availability of project data now depends on the project configuration (if applied). In this way the availability reflects from the beginning the full status of the project.
  • If no project configuration is applied, the availability depends on the imported artifacts only (implicit project configuration).

Visualization Enhancements

  • The minimal sizing of slices in the sunburst visualization was changed to allow smaller but still visible slices, which is especially handy for a large number of quality properties.
  • Sunburst and hierarchical heat map per revision now appear by page (similar to the other visualizations). This also vastly improves the response of the visualization.