6.3.0 - December 2022

Support for Git sparse checkout (Beta)

MQC supports a sparse checkout of Git repositories. The use of this feature provides considerable improvements regarding disk space usage and checkout speed for huge repositories containing only a limited amount of files relevant for an MQC project.
With sparse checkout no full clone of the git repository is performed. Only the relevant files and directories based on the defined filters are downloaded from remote.
The sparse checkout has to be enabled by an administrator. The configuration documentation is part of the Server Administration Guide.
As a prerequisite, the Git hosting has to support the partial clone feature that was introduced with Git 2.25 (2020).

Load Setup Configuration into Create Project Dialog

The Create Project dialog is capable of loading a setup configuration. As such, an existing or saved setup configuration can be checked and extended before creating the project.
The complete configuration of the Create Project dialog is validated and helpful hints are provided to correct misconfigurations.

Dark Mode for the whole User Interface

A dark mode is available for MQC. All visualizations and UI elements are switched to a dark theme. The colors are adapted to be easily distinguishable and recognizable. At the same time the dark mode is pleasant on the eyes.
The theme setting is a user setting. Thus, each user sees its theme when viewing any project.
The report generation uses the light mode theme at all times.

Improved Accessibility and Authentication Checks for Git Repositories

The handling of multiple Git repositories configured as one data source using the same configuration was improved. Each repository is checked separately for accessibility. The branches of multiple repositories are fetched in parallel (asynchronously).
Problems and errors (esp. authentication) are shown next to each repository as a status icon and with descriptive error messages as notifications.
Repositories added by http/https prompt the user with a login dialog, if no authentication info was found in the credentials manager. Any login information entered into MQC is stored in the Windows credential manager.

Extended Git Commit Filters

The previously default behaviour of the git checkout can now be changed by a new setting. While the diff mode is still recommended for fetching files, by disabling this setting it is now possible to request every file available in a commit, instead of only the added or changed files. This can solve problems that can occur when using data files that do not contain a report date (e.g. csv) if not using propagation for the whole project.
The time filter for commits was improved. It is now possible to define the "From" and the "To" date by independently chosing a selected date via a time picker or to align the filter with the project milestone configuration.

Background Updates of Git Repositories upon Opening Saved MQC Projects

The monitoring of git repositories has been improved, so that upon opening an MQC project the checks for new commits run in the background and no longer impacts the usability of MQC. Additionally, the handling of git lock files has been improved to better handle parallel usage on the web player.

Descriptions for Artifacts, Quality Properties and Their Structures

Descriptions have been added to the quality model and project structure configuration schemas. After adding descriptions to the configurations they become visible in the MQC UI.
Use these descriptions to explain and document the definition and background of the quality properties, artifacts, or structuring elements. This makes it easier for users to understand these elements during everyday use.
KPIs, Sunburst and Heatmap visualizations show the descriptions inside their tooltips.

Saving of Dashboard Configuration

The configuration of the dashboard can be saved to a yaml file. This configuration can be used in a setup configuration.

Save As for Annotations

Annotations can be saved as yaml files. Multiple annotation files can be loaded into a MQC project.
This enables the organization of annotations in multiple annotation files. Annotation files can be shared simultaneously between MQC projects.
There will be a notification within the UI for any unsaved changes to annotations created or edited inside MQC.

Memory Consumption during Data Import Decreased

By memory profiling we found a way to decrease the memory consumption during file import and implemented it. This enables the handling of even larger projects.

OpenID Authentication Support

Users can also be authenticated by OpenID (besides LDAP). The description's full configuration is part of the Server Administration Guide.

User Experience

The icon buttons in all configuration dialogs are provided with tooltips showing the functionality behind the button, e.g. to distinguish between "Save" and "Save As".
Configuration source files shown in dialogs are displayed in a way that the file name is always visible. File paths that are too long are shortened in the middle to still show the most important information.
If a loaded configuration source file is no longer accessible by MQC, because it was e.g. removed from the file system, a respective notification is provided within the corresponding dialog. The source file then can be recreated via the export functionality.
For each configuration source, MQC has a notification for when the file in the file system was modified and probably should be reloaded.
The main project information shown in the top left of most pages is more responsive with regard to size changes. The displayed information has been adapted so as not to show duplicated information.
The default MQC working directory (C:MQCTemp) can be changed by an administrator if for instance access to the C drive can not be granted for security reasons. The configuration description is contained within the Server Administration Guide.
If a stored MQC project is opened in a Web browser, it will directly start in Edit mode for Editor Users, not in View mode.

6.2.0 - September 2022

New Distribution Visualization including Milestones and Overall Quality/Availability

The new distribution visualization now shows the milestones as vertical lines. This eases the temporal recognition of the quality or availability distribution over time.
All revisions before a milestone can be collapsed. The new distribution visualization then shows the last revision before that milestone. Collapsing revisions provides a streamlined trend (quality or availability) especially for long running projects with many revisions.
With the improved distribution visualization it is possible to switch between a bin view, which shows the distribution of e.g. the computed quality according to categories like "good," "acceptable," and "bad" per revision, and an overall quality or availability view per revision.
As part of the bin view, the new distribution visualization shows the overall quality or availability as an additional trend line.
The new quality distribution visualization reflects the current scope of quality assessment, which can be absolute, available or relative quality. By default the absolute quality is shown.
The reimplementation of the bin distribution visualization facilitates improved formatting of labels, axes, and more consistent marking and tooltips.

Automatic Data Update of Projects on MQC Server

MQC projects stored within the library of an MQC Server can be periodically updated to automatically fetch the latest data changes. This ensures that all projects are always up to date upon opening, without the need to run an import in the client.
The serverside automatic update can be enabled or disabled in the project without changing any configuration in the server.
Serverside updates are only executed if new or changed data was detected.

Generic CSV / Excel Sheet Data Import Through Configuration

The Generic Data Sheet Adapter can read any CSV file or Excel sheet as a data source. The adapter can be configured with adapter options, which are defined in Yaml files, that can be added in the Adapter Dialog.
The Adapter Options for the Generic Data Sheet Adapter contain the configuration of the files to read, how the rows are filtered and aggregated, and how the column values are mapped to revisions, artifacts, and measures.

Multiple Annotation Files supported

Annotations created (or modified) within MQC can now be assigned to a source file and later saved in the corresponding source file. The source file format is Yaml.
Multiple annotation source files are supported.

User Experience

The quality heat map visualization was improved by centering the x-axis labels and removing the white lines between cells when there are many artifacts and quality properties.

6.1.0 - June 2022

Artifacts and Quality in flexible structures

Typical development projects are often structured in various ways, i.e. by product architectures, by product platforms, even by roles and responsibilities. As a result, the artifact and quality model structures in MQC now support multiple flexible levels and freely configurable naming.
Appropriate filtering and marking now allow you to focus on many specific aspects of artifacts or quality properties, in addition to a general overview.

Selectable scope for visual quality assessment

The scope of quality assessment that is shown in different visualizations includes all quality properties by default (=absolute quality). However, it is now possible to adjust that scope by e.g. ignoring all missing quality properties (=available quality) or by adapting the assessment in relation to defined target values (=relative quality). This allows a more differentiated view on project quality at any time during project runtime.

Faster Data Import from Git

Now faster data import works for Git repositories as well. MQC detects new commits and imports only data contained in these commits. New data can therefore be imported into an existing project much faster.
In case some hidden changes were made in your Git repository, you can force refresh reading the data from the Git repository (which may take quite some time).
Use of commit time as report time is now a configuration of the Git data source, which can be found inside the data source configuration dialog.

Predefined User Roles on MQC Server

The MQC server solution automatically comes with two user groups: MQC Editor and MQC User.
MQC Editors are able to create and configure (new) MQC projects and MQC Users are able to load and view existing projects, but not create or edit them.

General Table Adapter for Doors/DoorsNG Data Exports (Beta)

The Excel export of Doors/DoorsNG modules by IBM is supported by a configurable adapter. The adapter allows the flexible analysis of DOORS(NG) data based on various criteria.
This General Table Adapter filters rows of data by configurable filter criteria for specific columns. The filtered data can be summarized or counted.

Updated Heatmap and Sunburst Visualizations

The heatmap visualization displays the quality aggregation for the artifact structure, in addition to the aggregation of the quality model structure. The reimplementation of the heatmap facilitates more consistent marking and tooltips, as well as being considerably quicker.
For large projects the heatmap can be switched to scrolling mode. This provides more visual space for the elements and clearly displays details.
The sunburst reimplementation adds an interactive drill down mode and improves marking and label recognition.

Separation of Model Architecture Guideline Results in MXAM MXMR Adapter

MQC provides the possibility to separate the Model architecture guideline results from MXAM MXMR reports as separate base measures.
In this way the model architecture base measures (formerly known as MXRAY) can be shown as a separate quality property in MQC, alongside the standard Guideline Compliance. The respective quality model is part of MQC.

Loading and Exporting Project Structure and Target Configuration in Yaml

MQC introduces Yaml as the recommended format for the load and export of project structures and target configurations.
Your overall project structure can be configured using multiple (smaller) project structure configurations. This improves the handling, maintenance, and particularly the extension of the respective definitions.

User Experience

Multiple options in one section of a dialog can simultaneously be checked or unchecked, accelerating the config change in large selections.
The dirty state for dialogs (did anything change) is more consistent now. When trying to leave a dialog with changes, a confirmation dialog appears, where you confirm or cancel the change. When making changes in a dialog and then changing back to the original state, the dirty state is switched off, because nothing was changed.
The dialogs to configure MQC show a unified layout and the visual impression has been improved to enhance readability and differentiate between sections.
Above the main visualization we have added drop down menus to change the information shown in the respective visualization. The revision can be directly selected for status visualizations. On all main visualizations the structures and the respective levels of these structures can be selected. For example, on the quality status visualization you can select the artifact structure and level, as well as the quality structure and the respective level. For the main visualization, a different structure to that of the KPIs on the left can be used. This provides additional ways to view, slice, and dive into the data/quality values.
When exporting files, the user can now choose the location of the exported file (it is no longer saved in the default download path).
The culture info e.g. calendar week is determined during project creation, but can be changed in the settings. This means, that projects used in different time zones have a consistent use of dates and calendar weeks.

6.0.0 - March 2022

Multiple Quality Models

Your overall quality model can be configured out of multiple (smaller) quality models. This improves the handling, maintenance, and especially the extension of the quality model definition.
We recommend defining each data source in its own quality model. The quality models we provide with MQC follow this recommendation.
Even if there is no overall quality model defined, MQC recognizes the data sources used and loads the provided initial quality models.

Faster File Import and Transformations

Now MQC detects new data files and imports only the new data. In this way, importing new data into an already existing project happens much faster.
The time needed for calculations and transformation of the data is now reduced by half. This was achieved through improvements in the data flow and reducing the internal memory consumption.
As a result of the improved data handling MQC is more responsive and gives you more intermediate status updates of running calculations.
The adapter framework is faster now and was modified to reduce complexity. The GUI now focuses on showing only the standard adapters by default. However, the full set of adapters is still available with MQC.

Project Creation with Complete Configuration

We added an advanced mode to project creation, in which all necessary configurations for your project i.e. Project Structure, Quality Models, Settings, Adapters, etc. can be configured before creating the project. This facilitates a fast and comprehensive setup process.

Loading and Exporting Quality Models in Yaml

MQC introduces Yaml as recommended format for the load and export of quality models.
MQC continues to support quality models defined in Excel.
All quality models shipped with MQC are provided in both Yaml and Excel format.

Tool Adapter for SL Requirement and SLReq Quality Model

The HTML report of SL Requirement (SLReq) by The Mathworks is supported.
The adapter extracts the Implementation Status with the following variables: Implemented, Justified, None, and Total.
The SLRequirements quality model includes all the extracted measures and provides the "Requirements Coverage" quality property.

User Experience

The extended file browser shows a number of predefined places depending on the current use case. When adding quality models you have direct access to the provided quality models as well as the one in the MQC Showcase. When adding custom adapters all provided adapters are directly accessible.
The Bin configuration can be configured directly in MQC's GUI instead of defining it in a quality model.

5.3.0 - December 2021

New Project Creation with Interactive Configuration

MQC streamlined the new project creation. When you select "Create new project" a dialog asks for the location of your data (source) and the revision granularity. After confirming the dialog the project will be set up.
With the new dialog less steps are needed to set up your project and you can provide data earlier. The overall setup process is quicker, because you can import your data directly during the setup.

Multiple Git Repositories as one Data Source

If you have a high number of similar Git repositories containing your data, you can now configure these as one data source.
One Git configuration (branches, commits, time range, etc.) can be used for a list of Git repositories with a similar structure (e.g. when each artifact is contained in its own repository).
This considerably reduces the configuration effort for Git data sources.

Direct Access to MQC Showcase

The MQC Showcase project is now shipped with MQC and can be accessed with one click from the landing page in the web player or the client.
The MQC Showcase is a ready to use MQC project where you get the full MQC experience and try out the features for yourself.

MQC Server Installation Documentation

The new MQC Server Installation documentation provides you with concise information on the requirements and procedures for the server installation on your own system.
The documentation is easy to understand and contains the recommended installation parameters and steps.
Installation scripts, configuration files with recommended settings, and a manual on how to install a SSL certificate ensures a smooth and easy installation process.

User Authentication by LDAP

The MQC server supports a variety of authentication providers, the default being the local database.
LDAP is now officially supported. By configuring the use of LDAP for authentication LDAP users and/or user groups can be given access to MQC. The user permissions are configured individually or by inheriting from generic user groups provided by MQC.
The LDAP configuration is part of the Server Installation documentation.

User Experience

Annotations are now part of the created report. All Annotations and all quality modifications are listed.
The diff pages were improved by changing the order of the KPIs (Deteriorations > Improvements > No Changes). The visualizations now show a decimal for values lower than 10. Even miniscule changes are shown as at least +/- 0.1.

5.2.0 - September 2021

Visualization and Aggregation by Artifact Structure Levels

To get a better overview of larger projects (hundreds of artifacts) the visualized elements can be switched from artifacts to higher levels of the artifact structure (i.e. StructureElement, StructureGroup, and StructureRoot). Instead of showing hundreds of artifacts, switching to higher levels of the artifact structure improves the visualization, so that you can recognize the StructureElements or the StructureGroups. At the same time this higher level visualization directly shows the aggregation of the respective qualitative values of the StructureElements or the StructureGroups. Together with a well-defined artifact structure you get a comprehensive view of your project on the different levels answering questions like what is the quality of this component or this ECU. At the same time you can see the elements in comparison to each of the other elements on the same level.
This structural level visualization works on all quality pages and the data availability page for artifact structure, quality model structure, and data structure. You can select a level in the hierarchy of the structure, defined by the Project Structure or the Quality Model, in the dropdown above the respective KPI visualization.
Different main visualizations (status matrix, heat map, and trend chart) respect the structural level selection in the KPIs and show the same aggregated view.
If you are on one of the higher structural levels you can expand/collapse the underlying elements to see more details. The selection 'Groups - Artifacts' shows groups in the KPI, which you can expand down to the artifact level. The main visualization on the right-hand side shows the artifact level. This allows you to quickly and easily mark the higher structural levels while viewing the detailed level on the main visualization.

Sorting and Searching in Visualization

Sorting and searching were added to the KPI visualizations for Artifacts, Quality Properties, and Measures.
Now you can sort these KPIs using a dropdown. Different sorting options are quality ascending/descending, name ascending/descending, availability ascending/descending, and propagation ascending/descending.
Use the search function to reduce the amount of tiles shown and to display the relevant tiles.

Improvements for Annotations

Annotations are more prominently displayed in the main visualization on the Quality Status page. An "A"-Indicator highlights annotated quality points. The tooltip for an annotated quality point shows the title, description, and the change of quality, if defined.
The Annotation UI dialog was further improved and streamlined. In addition to the grouped viewing mode, a flat viewing mode was added to meet different preferences. Now it is possible to see a list of all the annotations.
The Import and Export features were replaced by a more advanced toolbar. With this new toolbar it is possible to load, reload and save from/to the file system or a network drive. The Load dialog supports either the loading of a file (while keeping a reference to the data) or the uploading of a file, which allows the use of local files on the web player. Saving replaces a referenced file, saves as a new file or downloads as a file. All these allow web player users to save the file locally.
Adding a new annotation comes with more preselected fields based on the current marking, either in the artifact KPI, quality properties KPI, bin distribution or the main visualization. Additionally to quality properties and artifacts, the quality, bins, and revision start and end dates will be prefilled now.
It is now possible to define annotations without a change of quality or bin target, so that you can only enter a comment.
The transformations for annotations have been improved. When adding, modifying or deleting annotations only the necessary transformations will run, significantly reducing the execution time.

Tool Adapter for RTRT HTML Report and RTRT Quality Model

The HTML report of Rational Test RealTime (RTRT) by IBM is supported. Together with the QAC adapter, MQC supports code based projects now.
The adapter reads the test case status and the available code coverage metrics.
The RTRT quality model contains all the read measures and quality properties for code coverage and the test case compliance.

Extension of QAC XML Adapter

The QAC adapter was extended to read different rule sets as measurements. The read measures were renamed to Guidelines (aka rules) and Findings (aka violations). In this way the static analysis measures are named similarly for the different static analysis tools (MXAM, SL Check, QAC, etc.).

Extension of TPT Adapter

The TPT tool adapter for the TPT HTML overview report now supports handling multiple variants of the presentation of the results.
The robustness of the XML and HTML adapters have been improved.

User Experience

The performance of the Git implementation was improved, especially for background monitoring.
Only necessary files are fetched when importing and updating data sources. A time filter was added to allow only specific time frames to be loaded from Git.

The verbosity of the Git operations was increased to show the status during checkout. This is especially helpful during large checkouts.
The MXRAY tool page presents the Stateflow Global Complexity values now. They are included in the Global Complexity visualization. The Stateflow values are shown as a sub-element of the overall Global Complexity values. In this way, Stateflow and Simulink Global Complexity are directly visible for the R0/R1/RN values.
MQC improved the performance of reading HTML reports by not loading unrelated HTML documents.
The pattern(s) for artifact mappings are applied after the import of the project structure on unmatched artifacts now.
The export of the extended artifact mapping contains all mapped artifacts now. Notifications during artifact mapping application (e.g. after importing a project structure) were corrected and extended to report only unmatched artifacts. Additionally, the comprehensibility of notifications was improved.

5.1.0 - June 2021

Annotations for Quality Properties (Beta)

MQC added the possibility to adapt quality values in a direct and documented way. These annotations adapt quality property values per artifact.
Annotations can change the quality bin (i.e. from bad to acceptable) or the quality value directly (i.e. from 74% to 93%).
A user interface aides the creation and update of single or multiple annotations.
Each annotation contains a title (short) and a description (long) to document the reasons for the change in quality. It also contains the author of the annotation, the creation date, and the (last) modification date.
The validity of an annotation can be defined for a specific time frame (by date).

Multiple Human Readable Reports per Data File

The connection between data source files (i.e. XML files) and accompanying human readable reports (i.e. HTML files) was extended to handle multiple human readable reports per data source file. For example, in this way the adapters support separate MiL and SiL HTML reports for one XML file containing combined test results for MiL and SiL.

Extension of TPT Adapter

The TPT tool adapter for the TPT HTML overview report supports handling multiple variants of the overall result visualization.

Propagated Derived Measures

Derived measures that use propagated base measures are propagated now as well. This makes the information in the Data Availability more consistent.

User Experience

The Git service fixed a condition that prevented using a Git data source on its own without another data source.
The Project Quality Heat Map and the Quality Sunburst were improved to keep a selected revision in the main visualization even after switching back from another page.
The Setup Configuration includes a new setting to apply annotations.
At multiple places MQC was made more robust to handle user interruptions.

5.0.0 - March 2021

Git as Source for Data (Beta)

MQC can use Git as a direct source for data files. By configuring the Git server, user, and repository now all commits are available as a source for data files.
Filters are available for commits, tags, author, directories, and files. These filters can be include or exclude. Simple text pattern up to full regular expressions can be used for defining the filters.
An option in settings allows the user to use the commit date and time of data files instead of the date inside the report file. The report date and time is set as default.
Employing the current functionality all data files can be directly taken from the version control system. In addition, the analysis by MQC can be constrained to a defined set of commits, directories, files depending on the project and what is needed.
MQC detects updates in the Git repository. The user is notified to refresh the data. If configured, the refresh happens automatically.

Calculation and Visualization of Quality Differences

MQC now directly calculates and visualizes the changes/differences in quality and availability between revisions. The comparison base can be selected and separate Diff pages are available to visualize quality and availability changes/differences.
Diffs can be calculated in comparison to the previous revision or previous milestone. It is also possible to compare all revisions with a specific revision.
Separate Diff pages are available with difference specific visualization adaptions. These pages use percentage points to make the kind of changes clear. There is differentiation between positive (+) and negative (-) changes/differences. The titles of the visualizations describe the nature of the visualized data.
A Diff page is shown for a specific page (e.g. Quality Status page), when choosing "Show Diff View" in the Action Panel. Diff pages can also be managed via the "Manage Pages" menu.
The difference calculations and visualizations depend on the filter panel selection.

Quality Bin Configuration

The quality bins used on quality pages of MQC can be configured by name, color, and the used quality boundaries/thresholds. The number of bins is flexible. In this way a project might use specific names instead of good/acceptable/bad and the respective colors green/yellow/red.
An optional new sheet to define the parameters of bins is available in the Quality Model configuration. These parameters are used throughout all quality pages. The previously used configuration is still the default configuration in MQC.

Tool Adapter for TPT HTML Report Added

A TPT tool adapter for the TPT HTML overview report was added. The TPT HTML adapter produces the same measures as the XML adapter (on the same project).
The (structural) coverage (model coverage or code coverage) information is taken directly from the HTML overview file (if available).
The Requirements Status and Requirements Count are read from the HTML file, if a requirements section is available (requirements.html). The requirements covered by test cases (Testable Requirements with Test Cases) and assesslets (Testable Requirements with Assesslets) are counted.
The provided Quality Model for TPT was extended to reflect the new measures and quality properties.

Tool Adapter for TargetLink Code Coverage HTML Report Added

The TL Code Coverage adapter reads the base coverage measures (total/reached/unreached branches) and the already calculated code coverage measure for statement and branch/decision coverage. Only the overall values of each HTML report are read.
The TL Code Coverage Quality Model contains quality properties for the supported code coverages.

Tool Adapter for Simulink Design Verifier HTML Report Added

The Objectives Count results can be read from the SL Design Verifier HTML report.
A quality property SL Design Verifier Compliance is contained in the SL Design Verifier Quality Model taking into account the number of Passed and Failed objectives.

Tool Adapter for MXAM Excel Report Files Extended

If the report contains data of multiple subsystems of the same artifact, then these are aggregated. Possible measurements (documents or objectives) are taken into account.

Extended Quality Model Suggestions

The provided Quality Models for TPT, Embedded Tester, and MTest were extended to be as similar and comparable by quality properties as possible.
The provided Quality Model for PolySpace was extended by more measures and the accompanying quality properties.

User Experience

The Report Generation was extended to contain an artifact specific quality heat map (in the complete variant). This provides artifact specific sub/characteristics and overall quality at the same time.
The Project Quality Heat Map in the Report output was improved with more labels inside the tiles and a more even scaling of the tiles to enhance readability.
On the Dashboard the Project Information tile now includes the number of artifacts. The layout of this tile was optimized to improve readability on smaller screens.
The Setup Configuration includes the new settings (use Git report time, diff revision base, and the Git data sources including filters and patterns).

4.5.0 - December 2020

Configurable Dashboard

The dashboard for a quick overview of the project can be configured to your needs. Tiles can be added from a list of available tiles, removed, resized, and moved around using drag and drop.
The configuration of the dashboard is saved as part of the project.
Most of the visualizations on the standard pages are available as tiles for the dashboard too.

Tool Adapter for TPT XML Report and TPT Quality Model Extended

The TPT tool adapter for the XML summary file reads more measures from the file if they are present.
The (structural) coverage (model coverage or code coverage) information is directly taken from the XML file. An example of the measures for CTC++ is contained in the provided TPT quality model.
The Requirements Status and Requirements Count are read from the XML file. The requirements covered by test cases (Testable Requirements with Test Cases) and assesslets (Testable Requirements with Assesslets) are counted. Currently, Requirements Counts.Testable is not available inside the xml file. Thus, Testable Requirements with Test Cases is used internally.
Quality properties using the new base measures are provided in the TPT quality model: many Coverage CTC quality properties, Requirements Compliance, Testable Requirements with Assesslets, Testable Requirements with Test Cases in addition to the already available Test Sequence Compliance and Test Sequence Progress.

Fuzzy Rules for Action Calculation

The calculation of actions from quality properties can be implemented by fuzzy rules as well. This provides extended possibilities to define multi-level dependencies between quality properties and actions. The fuzzy rules are implemented by the Fuzzy markup Language (FML) ISO standard.
The direct action definition in the quality model and the fuzzy definition can be used at the same time and can even be mixed.
Using a Sankey diagram on the Action List page shows the dependencies between quality properties and actions.

Git as Source for Data (Alpha)

MQC can use Git as a direct source for data files. By configuring the Git server, user, and repository the head is checked out and used by MQC as the source for data files. Similarly, the configuration can be done directly in MQC and at the same place as the definition of directories for data files.
This is a first step into the direct usage of source control systems (aka application lifecycle management (ALM)) as source for files and data.

Tool Adapter for Simulink Check (Model Advisor) HTML Report Added

The Guideline Count results can be read from the SL Check aka the Model Advisor HTML report.
A quality property Guideline Compliance is contained in the SL Check quality model. (Please note that this Guideline Compliance must be much simpler and not that fine granular than the one from the Model Examiner - information on the number of findings per guideline is not available as numbers in the SL Check report.)

User Experience

The placement of the Sunburst labels was improved to avoid overlays.
The ordering of the overall quality lines is adapted to always show the Absolute Quality on top.
The font sizes in the report were aligned for better readability.
In the quality property detail section of the report the base measures are reported even when only derived measures were used for quality property calculation.

Extension of the MQC Show Case

The MQC Show Case was extended to show the new and updated features and possibilities. The folder structure of the data files reflects the recommendation to save files for the combination of data files and readable report files. Please refer to the user guide for the downloading of data and configuration files.

4.4.0 - September 2020

Action List (Beta)

MQC now recommends actions to improve quality by solving deficits in a project. Each action is related to a particular artifact with a priority from 'Very High' to 'Very Low' according to the corresponding quality measure value. The list of actions is then sorted according to the priorities, which helps the user to easily identify the most urgent actions to be taken next.
A new Action List page is provided which gives an overview about the actions for the current or a selected revision. Filtering and marking may be used to focus on details like particular artifacts.

Data Origins (Imported Data and Report Files)

MQC provides access to human-readable reports, for example in HTML or PDF format, if available. The underlying data reports, whether originally imported and/or human-readable, can be opened directly through MQC. The marking and filtering on the quality and data pages reduces the list of reports in the data origins accordingly.
Using the new entry Show Data Origin in the MQC Action panel, makes it easy to crosscheck the original file source for a particular piece of data.
MQC supports the user in finding the correct file data source by adapting the list of imported files according to the data/quality filtered or marked.

Dashboard For Quick Overview (Beta)

The new dashboard gives a quick overview of the aspects of the current project from project information, overall quality trend, quality and availability status, aggregated information to changes from the last revision. The user can jump to the respective pages for more in-depth information and details.
The dashboard is the entry page and first stop for the user to get a picture of the status, trend, diffs, and actions to do.

Extended Overall Quality Visualization

There's a new quality trend visualization in the MQC Dashboard that shows three aspects of the overall quality of the project and how it evolves over time.
- Absolute Quality: This overall project quality is calculated using all data including missing data.
- Available Quality: This overall project quality is calculated using the available data only, excluding missing data. This directly shows the quality of what has already been done.
- Relative Quality: The third quality trend line shows the overall project quality in relation to targets configured for particular milestones. An absolute current quality of only 50 % is quite inadequate, but if the plan was to achieve that 50 % at that point in time, it is excellent (100%). If no specific targets were imported, Absolute Quality and Relative Quality show the same trend lines.
The Overall Quality Visualization shows the defined milestones making comparisons regarding milestones easy.

More Compact Artifact Mapping

By using patterns the artifact mapping (derive artifact name shown inside MQC from the artifact path defined in the adapter) can be configured for many artifacts at once. The patterns follow standard regular expressions with all the usual possibilities. The patterns can be defined in the setup configuration and in the settings. A preview of the result of mapping using the current artifacts is provided in the settings dialog.
The Project Structure configuration was improved. The Artifact Structure sheet now contains a column with the Artifact Paths, while the Artifact Mapping sheet was removed from the Excel configuration. Previous formats of the Project Structure configuration still work.

Tool Adapter for MXAM Excel Report Added

The MES Model Examiner MXAM Excel report can be used as a data source for MQC as well. The same measures are taken from the Excel report as for the mxmr report.
The MXAM Excel adapter implements two methods for measurements: 1. Each document is a measurement. Thus, if you organize your MXAM guidelines into multiple documents, you can manage the results of the documents separately in your quality model. 2. The objectives of each guideline define the measurement. In this way guidelines with objective 'functionality' can get a different (higher) weighting than guidelines with objective 'readability'. The default case of this adapter uses the second method for measurements. If present the objective functionality is used, or else the objective readability is used if available. Otherwise, the first objective of the guideline is used.

User Experience

The size of the KPI charts is now responsive. If the number of KPIs increases, the size decreases to accommodate more KPIs on the available space. At the same time the displayed information per KPI was optimized to use the available space more efficiently.
The Sunburst visualization was extended to show labels of the quality properties. When hovering over the sub characteristics or the characteristics the respective labels are shown.

Create New Project from MQC Web player

A new MQC project can now be created in the MQC web player as well. This option "Create new Project" is directly available in the standard File menu.
All the (legacy) options from the Tool menu are no longer needed and were removed.

Export of the Setup Configuration

The settings and configuration options can be exported from the Settings Dialog into a Setup Configuration (Excel). This can be used to reuse the same settings for another (new) project or to recreate a project.

Export of Manual Excel Import Template

When some data must be provided in a manual way, the respective Excel template file can be created preconfigured with the current artifacts and measures. The configuration of the included elements can be defined by marking or by filtering otherwise all elements are contained in the Excel template.

4.3.0 - June 2020

Tool Adapter API to Allow Custom Adapter Implementation

Tool Adapters can be added when working with MQC using the new API. In this way the import capabilities of MQC can be easily extended.
Adapters can be written in C# and (Iron)Python.
Examples for adapters reading XML, HTML, Excel, and CSV/TXT are available including all currently available tool adapters.
All adapters can be enabled/disabled inside the MQC panel.
Custom adapters can be added, reloaded, and removed inside the MQC panel. Adapters can be directly tested with a single report file to preview the import results. Warnings/errors are shown in order to support the adapter development as well.

Tool Adapters for MXSuite, CTC++, and QAC Added

Code coverage data from CTC++ can be imported from XML and HTML reports. In addition to the code coverage data (statement/decision/... coverage) the number of source lines and measurement points are read as well.
Static analysis data from QAC can be imported from XML and HTML reports.
Test result data from MXSuite can be imported using MXSuite XML reports.
Quality model definitions for these tools are added as usual for all tool adapters.

Significant Performance Improvement of Data Transformation Flow

The data transformations are now executed in a specific order, which is controlled and triggered in such a way as to prevent duplicate transformations. This improvement reduces the time needed for the transformations by up to half.

User Experience

The selection of measures on data pages was improved by using measurements in the KPI charts. Associated measures from the same measurement or data source are selected/marked together on the first click.
The name of the milestone is shown in the heading of visualizations next to the revision name, if a revision is the last one before a milestone.
Measure values as labels in visualizations can be enabled for custom pages. Check the corresponding option in the settings dialog of the MQC panel.
The number of KPI charts is no longer limited and can exceed the previous maximum of 50.

Extended Configuration Dialogs

The options in the settings dialog have been renamed and rearranged to facilitate easier understanding and use.

Project Status Report Supports Multiple Measurements

The status report supports the usage of multiple measurements for one data source.

MQC Branding and Landing Page

The design of the MQC has been improved to reflect the brand of MQC, not only after opening an analysis but for the whole application. The unified color scheme, font sizes, and user interface elements make for a better user experience, which is also present in the web player.
When no analysis is loaded, the application now presents the user with a landing page containing information such as the MQC version and links to the user guide, sample data, the support page, and more.

Backward Compatibility

If an older and previously incompatible analysis (4.0, 4.1, 4.2) is opened, it will now be converted on the fly to the new version of MQC with all configurations and data transferred.

4.2.0 - March 2020

Significant Import Time and Memory Reduction for Huge Data

The import of huge sets of data files and complete directories of files is much faster now. In addition, the memory consumption was reduced considerably.
The mechanism of monitoring for file and directory changes was reworked to detect changes safe and with less computing resources. Due to the adapted caching mechanism the reimport of changed files is much faster now as well.

User Experience

The marking in the bin distribution is more intuitive now. Revisions on status pages can be selected with just one click. Similarly, a quality bin on trend pages can be selected for all revisions with one click.
The extension of marking when combining marking on bin distribution and in KPIs is more intuitive now.
The showing of the KPIs and the calculations inside the KPIs are fully dynamic now and reflect the marking on the other visualization of the page.
Artifact and revision marking on quality or data pages is directly reflected on other quality and data pages.

Availability of MQC Server and MQC Web Viewer/Editor

The MQC Server is now available for on-premise installation and setup. Now you can have a secure library of your analysis including access to your local network (and data).
With this availability of the internal library you can easily create a shared analysis (and some tasks can run regularly on the server, i.e. to update an analysis with new data)
Together with the MQC Server, the MQC Web Viewer/Editor is now available. It provides the functionality of the client directly in a browser while the analysis is opened/running on the MQC Server.

New Setup Configuration to define all configuration options

The new Setup Configuration enables the setup of the current configuration options of an MQC analysis. When loading/opening this setup configuration the full MQC analysis is created.

Improved Configuration of Quality Model and Project Structures

The functionality of the Measurement element in the configuration of the quality model was extended. In the derived measure configuration the same four elements as in the base measure configuration can be used. Now derived measures are very similar to base measures in definition. In the measurement function calculation measurements can be used in more ways. Please have a look to the MQC User Guide Section Quality Model Configuration for full details and examples.
When setting up an analysis it is now possible to export an initial artifact structure and mapping. This export uses as many information as already available from importing artifacts. In this way an initial project structure (especially artifact structure and artifact mapping) can be created in a few minutes.
A new validation of the data configuration was added. This provides hints at configured but not used elements (i.e. imported artifact but not configured in artifact structure). See Validation of Configuration in the MQC User Guide for more information.

Data Details Drill Down Extended

The extended marking possibilities (described above in User Experience) improve the selection of quality data for data details drill down a lot.
A new data details menu item (Data of the Quality) in the left menu provides a link button to quickly jump to the respective data page.
The data details selections can be adapted in the data details menu item. This provides an additional way to select the data for detailed information by using check boxes instead of marking. This menu is available on the data pages as well to check the current selection used.

Extended Configuration Dialogs

The configuration dialogs in the left menu received an overhaul. All actions (data refresh, create report, data details) are separated from the configurations (i.e. quality model, project structure, settings).
All current settings of the configuration went into a centralized settings dialog (i.e. Show Target Values).

Project Status Report Export to PDF and Made More Compact

The status report received a modernized styling and is more fluid and responsive now. The pdf and html versions are more similar now.

4.1.0 - 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.

4.0.0 - September 2019

Generating a project status report in HTML

A status report containing all the information of an MQC project can be generated in HTML. Using the graphics from the interactive MQC pages, the structured report starts with a quality overview, shows data availability, configured report pages and details on artifacts and quality properties. Beside the graphics, context specific information is collated in informative tables.
The amount of information in the status report can be configured regarding: the time (revision) to be used for status information, the data selection, e.g. all artifacts, specific use cases, the extent of information in the report sections (full, compact, short), and the filtering used in the filter panel of the interactive MQC.

Context categories to configure expected data

By default, all (configured) base measures are expected for all artifacts. This can produce some missing data. By using context categories, you can assign data sources to artifacts, thus defining which data (data sources) is expected for specific artifacts. In this way, data previously stated as "missing" (bad quality) is treated as "excluded" data (ignored in availability and quality calculation). MQC provides a notification if excluded data (by means of context categories) is imported.
The application of the configured context categories can be switched on in the Project Structure section of the Data Management panel.

Extended tool adapter: PolySpace (The Mathworks)

The CSV/TXT data export from PolySpace can be imported into MQC in addition to the already available xml data import. The following measures from the csv/txt or xml file are imported: Run-Time Checks (Major/Red, Moderate/Orange, Minor/Gray, Good/Green), MISRA-C Checker (number of violations), and Global Variables (Used non-shared variables and Unused variables).
An example base measure definition including defaults and quality model file is provided.

Additional tool page: PolySpace (The Mathworks)

A new tool page for PolySpace was added. All the data from the PolySpace adapters (xml and csv/txt) is visualized in compact charts. The bin distribution (top) and KPIs (left) provide a quick overview of the number of artifacts with issues and the overall number of issues.

Extended tool adapter: Time Partition Testing TPT (XML summary files)

TPT xml summary files provide data for test results for an artifact. It is now possible to differentiate between MiL and SiL (and PiL) results by looking for the pattern _MiL_/_SiL_/_PiL_. If found, the results are assigned to the respective measurement MiL/SiL/PiL. The pattern is first searched for in the file name. If not found, the platform tag is analyzed for the same pattern. In this way, the adapter may handle different simulation platforms.
The TPT xml adapter imports the following base measures: TestCount (Errors, Failed, Inconclusive, Succeeded, Tests)
An example base measure definition including defaults and quality model file is provided.

Usability enhancements

During data import the Data section of the Data Management panel will display which file is currently being imported (67 of 78 files). If an internal data update (transformation) is necessary (due to data or config changes), you will see this in a status message in the same location. If auto-update is not enabled, you will get a message that a refresh is needed.
The Project Structure section and the Quality Model section in the Data Management panel now contain a Reload button to quickly reload the current (changed) configuration. The tooltip of the Reload button shows the file name and path of the respective configuration file.

3.5.0 - June 2019

Drill down from quality to detailed data

From the quality pages you can drill down to the respective data details. Select quality properties and/or artifacts in the KPI selector on the left and right click data details. MQC then switches to the data status or data trend page, where the base or derived measures producing the selected quality values are marked. In this way, a quick and detailed view on the base data is provided.
The data details drill down via the KPIs (left) works on the quality status and quality trend pages. Then all data for the selected quality properties and artifacts are shown as data details. Data details drill down is also available for selected tiles of the heat map on the quality status page. Only data belonging exactly to these tiles are shown as data details.
Data details can be shown on the data status page or the data trend page. The data details marking is applied to both pages (as usual).

Artifact weighting in quality property aggregation

For each artifact a weight can be defined to be used in the aggregation of artifacts to quality properties in the structure of the quality model. In this way, the different "sizes" of artifacts can be utilized in the aggregation of the artifact quality properties to the overall quality property values.
The artifact weights are defined in the Artifact Structure of the project structure configuration (column ArtifactWeight).

Quality status and quality model visualized by hierarchical heat map

An additional quality status page employs the Hierarchical Heat Map visualization. This is a combination of the standard heat map combined with the quality model aggregation information and the artifact aggregation.
Additionally the tiles are sized by (relative) quality property weight and by (relative) artifact weight.

Extended tool adapter: MES M-XRAY (XML files)

MXRAY xml files provide data for metrics for each artifact analyzed directly.
In addition to the standard metrics configured as quality metrics in MXRAY (often Local Complexity and Level, sometimes Inports, Outports, Cyclomatic Complexity, ...) the adapter also reads the following base measures:
- Global Complexity values (Ref0, Ref1, RefN)
- Clone Groups (Number of uniques cloned subsystems (bad), number of good subsystems (good))
- (Lower) Boundary values for Local complexity (can/will be used for (relative) model size calculations)

Additional tool page: MES M-XRAY

A new tool page for M-XRAY was added. All the data from the MXRAY adapter are visualized in compact charts, status and trend at the same time. The bin distribution (top) and KPIs (left) provide a quick overview of the number of artifacts with issues and the overall number of issues/severe issues.

Additional tool page: MES Model Test Manager MTest

A new tool page for MTest was added. The data visualized is structured by requirements, test sequences, assessments, and structural coverage.

Extended tool adapter: Embedded Tester XML (BTC Embedded Systems)

The ET XML data export from BTC Embedded Tester can be imported into MQC. All measures inside the xml file are available as base measures.
An example base measure and quality model file is provided.

Reduced memory consumption and run time during data import

The memory consumption during data import was reduced. The time to import decreased as well (less than half the time). Multiple processors are utilized during data import.

3.4.0 - March 2019

Target value configuration for measures and quality properties

For each measure or quality property one or multiple target values (thresholds, expectations) can be defined per milestone.
The configuration of target values is done in Excel files (in a similar format as manual measure definition).

Quality property weighting in quality model aggregation

For each quality property a weight can be defined to be used in the aggregation of quality properties to sub-characteristics in the structure of the quality model.
The weights are defined in the quality model configuration of the quality properties.

Quality model visualization by sunburst graphic

Inside the quality status page the optional sunburst visualization can be employed.
The slices of the sunburst employ the (relative) weight of the quality property for sizing of the slice. In this way the weighting of quality properties can be directly observed in the sunburst.

Additional tool adapter: PolySpace (The Mathworks)

The PolySpace XML data export (xml, xfrag) can be imported into MQC. Currently the following measures are imported:
Run-Time Checks: number of COLOR checks with the following mappings red -> major, orange -> moderate, gray -> minor, green -> passed
MISRA-C Checker: Violations and Pass/Fail
Polyspace Code Metrics: Pass/Fail
The artifact name is taken from the subtitle inside the xml file.
The RevisionDate is taken from the pubdate.
An example base measure and quality model file is provided.

Customizable pages for status and trend visualization

This enables...
The targets can be shown in status and trend visualizations.
The display of target values can be switched off by a data management option.

3.3.0 - January 2019

New Data Status page

The new Data Status page shows the data values of artifacts. Data of one revision for all or selected artifacts are visualized. The graphs of the measures are combined by data source to provide a compact overview.
The page previously named Data Status is now called Data Availability.

Derived measure definition using measures from different data sources

Using existing base measures new measures can be calculated. These derived measures can now be calculated using measures from different data sources. Derived measure can be reused in other derived measures as well.
The data source associated to derived measures is created by the concatenation of the original data sources.

Additional tool adapter: Embedded Tester (BTC Embedded Systems)

The MQC XML data export from BTC Embedded Tester can be imported into MQC. All measures inside the xml file are available as base measures.
An example base measure and quality model file is provided.

Additional tool adapter: Tessy (Razorcat)

The Tessy XML data export can be imported into MQC. Currently the TestCount measures ok, notok and notfeasible are imported. The artifact name is taken from...

Extended tool adapter: MES Model Examiner MXAM (MXMR files only)

MXMR xml files created by MXAM 5.1 and newer provide finding and guideline results for each artifact analyzed directly.
For MXMR files created using MXAM 5.0 and earlier MQC reads the finding results summary from the artifact summary. The guideline results summary is taken from the overall summary, if there is only one artifact in the analysis (in the MXMR file). For multiple artifacts the guideline results summary is aggregated from all the finding details (however, this last case does not handle annotations yet - thus, the guideline results summary may be slightly different from the original MXAM summary).

Initial Page Export to Powerpoint or PDF

All or selected pages of the current MQC analysis can be exported to Powerpoint or PDF by the Export command. Different options to adapt the export are available.
The export adheres to the selected marking and filtering. For special cases selected visualization may be exported separately as well.

3.2.0 - October 2018

Set of data pages

The imported measure data is show on a data status (availability) and a data trend page.

Configuration of quality model

A quality model according to ISO25010 can be configured and applied to the imported measure data to calculate quality values.

Set of quality pages

The quality data is shown on a quality status and a quality trend page.

Configuration of project structure

A project structure including artifact structure, artifact name mapping and milestone structure can be defined and applied to the artifacts.

Filtering according to all structures

Filtering of artifacts and data can be applied using the different available structures configured or imported.

Additional tool adapter: Time Partition Testing TPT (Piketec)

The TPT XML summary export can be imported into MQC. Currently the TestCount measures are imported.
The artifact name is taken from ...

Tool adapter: MXAM, M-XRAY and MTest (MES)

The XML export of the MES tools can be imported into MQC.
For MXAM the MXMR report is supported.
For M-XRAY the xml export is supported. All available metrics (local complexity, level, ...) are imported (if configured and exported in M-XRAY).
For MTest the MQC export is supported. All base measures and test objects are imported into MQC.

Release Notes

6.3.0 - December 2022

Support for Git sparse checkout (Beta)

Load Setup Configuration into Create Project Dialog

Dark Mode for the whole User Interface

Improved Accessibility and Authentication Checks for Git Repositories

Extended Git Commit Filters

Background Updates of Git Repositories upon Opening Saved MQC Projects

Descriptions for Artifacts, Quality Properties and Their Structures

Saving of Dashboard Configuration

Save As for Annotations

Memory Consumption during Data Import Decreased

OpenID Authentication Support

User Experience

6.2.0 - September 2022

New Distribution Visualization including Milestones and Overall Quality/Availability

Automatic Data Update of Projects on MQC Server

Generic CSV / Excel Sheet Data Import Through Configuration

Multiple Annotation Files supported

User Experience

6.1.0 - June 2022

Artifacts and Quality in flexible structures

Selectable scope for visual quality assessment

Faster Data Import from Git

Predefined User Roles on MQC Server

General Table Adapter for Doors/DoorsNG Data Exports (Beta)

Updated Heatmap and Sunburst Visualizations

Separation of Model Architecture Guideline Results in MXAM MXMR Adapter

Loading and Exporting Project Structure and Target Configuration in Yaml

User Experience

6.0.0 - March 2022

Multiple Quality Models

Faster File Import and Transformations

Project Creation with Complete Configuration

Loading and Exporting Quality Models in Yaml

Tool Adapter for SL Requirement and SLReq Quality Model

User Experience

5.3.0 - December 2021

New Project Creation with Interactive Configuration

Multiple Git Repositories as one Data Source

Direct Access to MQC Showcase

MQC Server Installation Documentation

User Authentication by LDAP

User Experience

5.2.0 - September 2021

Visualization and Aggregation by Artifact Structure Levels

Sorting and Searching in Visualization

Improvements for Annotations

Tool Adapter for RTRT HTML Report and RTRT Quality Model

Extension of QAC XML Adapter

Extension of TPT Adapter

User Experience

5.1.0 - June 2021

Annotations for Quality Properties (Beta)

Multiple Human Readable Reports per Data File

Extension of TPT Adapter

Propagated Derived Measures

User Experience

5.0.0 - March 2021

Git as Source for Data (Beta)

Calculation and Visualization of Quality Differences

Quality Bin Configuration

Tool Adapter for TPT HTML Report Added

Tool Adapter for TargetLink Code Coverage HTML Report Added

Tool Adapter for Simulink Design Verifier HTML Report Added

Tool Adapter for MXAM Excel Report Files Extended

Extended Quality Model Suggestions

User Experience

4.5.0 - December 2020

Configurable Dashboard

Tool Adapter for TPT XML Report and TPT Quality Model Extended

Fuzzy Rules for Action Calculation

Git as Source for Data (Alpha)

Tool Adapter for Simulink Check (Model Advisor) HTML Report Added

User Experience

Extension of the MQC Show Case

4.4.0 - September 2020

Action List (Beta)

Data Origins (Imported Data and Report Files)

Dashboard For Quick Overview (Beta)