MES Quality Commander® (MQC)
Quality monitoring of software products
The MES Quality Commander® 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.
MQC Tool FAQ
Can MQC help to improve my software development process?
What data do I need in order to set up an MQC project?
Do I have to create my own Quality Model?
Can I see my test data in MQC?
Where does the data come from that MQC uses to calculate quality?
How can data be imported into MQC?
Is it possible to access the original data reports in MQC?
Which quality tools / data reports are supported by MQC?
Can I import data from my own reports into MQC?
Can I implement my own adapter?
Can I add my own adapters during the runtime of MQC?
Can I share my MQC project with other people?
How MQC supports you:
1. Comprehensive quality assessment
What is the current status of my project, what is my most urgent problem, and what are the next steps to take in order to solve it? Check the project status and compare the progress with your expectations per milestones!
With an innovative concept linking project structure, data sources, and quality models, MQC provides a comprehensive quality overview for the whole development process.
2. Intuitive and powerful visualizations
Compact and interactive visualizations provide multiple views of your data, such as a general overview or details views. Guided by a common look and feel, you can analyze all relevant KPIs and quality results in trend and status to gain an overview of product quality level as well as maturity.
3. Root cause detection
Use flexible filters and selections to focus on hot spots of insufficient quality. Drill down to the underlying data to detect the root cause of problems. In this way, MQC provides a reliable basis for risk assessment and decision-making during each step of your project.
4. Data gap analysis
MQC extracts and homogenizes huge sets of data from heterogeneous data sources. Imported data is structured using different levels, such as artifacts and data sources. Easily detect missing data by examining the availability of your expected data and its evolution over time.
5. Standard compliance
The verification and documentation of process completeness and product quality provided by MQC supports you in keeping your development process compliant to the respective industry standards (i.e. ISO26262, ISO25119, IEC61508, etc.). Additionally, all measure and quality definitions used in MQC are compliant with ISO2501x.