MES Quality Commander (MQC)

The MES Quality Commander® (MQC) clearly maintains an overview of all quality measures, not only those in the model, but for the entire software. The MQC Quality Dashboards guarantee that everything is always in view.

Quality monitoring of software products

MQC captures all key data relevant to product quality throughout your software lifecycle. As a dynamic management and control tool for use in qualitative software development, it provides you with an objective basis for decision-making and reliable risk control. The MES Quality Commander® evaluates the quality and viability of your software product on the basis of all relevant development artifacts as well as the corresponding status and performance metrics.

Adaptable quality model

The MES Quality Commander® uses a quality model that can be individually customized to your quality targets and development processes. Ready to use quality model templates/blueprints for supported tools are available as part of MQC and allow fast and easy out of the box usage. You are free to determine which quality measurements (e.g. guideline checking, complexity measurement, testing, requirements, coverage etc.) to use in the overall evaluation of your product.

Integration in toolchain

The MES Quality Commander® can be seamlessly integrated into your development environment or Continuous Integration. It does so by constantly monitoring known directories and importing new data automatically. MQC out of the box understands and reads the output of many different quality assurance tools.

Altair Acrome Ball Balancing Table

Your MES Quality Commander® benefits:


Confidence
  • Objective assessment criteria assists decision-making
  • Track product quality and process compliance with industry standards
Transparency
  • Identify hotspots and where to take action
  • Visualize product maturity and quality from specific artifacts to complete projects
Simplification
  • Fast result distribution among many users
  • Easy data import and result reports
  • Seamless integration in CI environments
Unification
  • Data normalization using a formal quality model
  • Compare and aggregate all aspects of quality assessment
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