RQA - QUALITY Management Capability
For SES ENGINEERING Studio
A SMARTer way to improve the quality of your engineering items.
Quality analysis of requirements, documents and models
RQA – QUALITY Management Capability is an additional capability of SES ENGINEERING Studio, a software environment aimed to digitalize systems engineering capabilities. RQA – QUALITY Management Capability allows the user to define, calculate, manage, and report quality for any engineering item accessed from any available connection in SES ENGINEERING Studio.
Poor-quality engineering items during the project concept and design phases lead to rework, extra costs, delays, and, severe consequences if not detected.
A tool to automate the routine quality inspection and analysis of different types of engineering items helps minimize the cost of quality inspections while increasing the consistency and overall quality of the projects.
Defects can be caused either by inadequate engineering decisions or by the incorrect representation of engineering information in requirements, models, etc. Automatize the quality inspection activities will give engineers more time for better decision-making while providing means to detect and fix defects.
Natural Language Processing and Artificial Intelligence provide a semantic analysis for more accurate inspections.
While performing the quality analysis, RQA –
QUALITY Management Capability analyzes
engineering items using the agreed best
practices and rules (including INCOSE Guide to Writing Requirements), checklists, policies, etc. to identify defects, inconsistencies, and incomplete information.
The quality inspection of requirements
specifications is a task that requires several
steps and that can be very time-consuming when not realized automatically.
Reducing rework (and consequently costs)
caused by flaws at all levels in your system
engineering items can be achieved by
automating peer-reviewing and quality
Are you concerned with the success of your projects? This unique service will help you ensure it.
We will analyze the content of your requirements and generate a manual report with useful tips to improve your specifications.
Making the concept of quality analysis universal
The current version of RQA extends the quality analysis concept and now covers all the engineering items generated during the systems engineering life cycle. Quality must be managed not only within requirements,but also within logical models (UML or SysML), physical models (MODELICA, Simulink, etc.), 3D models, test cases, FMEA tables… and even textual documents (e.g.a SEMP): all these types of engineering items can now be analyzed with RQA.
Customizable quality functions
Different companies, different industries, methodologies, and types of projects, different types of documents and diagrams at different levels of abstraction?
RQA is the tool that can cope with this plethora of different engineering items, methods, processes, and tools. RQA provides tailored analysis and configurable assessments, represented in a centralized system quality scoreboard, with the intention to provide a quick understanding of the current quality status, and quality evolution of a project.
Early detection of defects
Close to 90% of the defects are introduced during the Requirements Engineering and Design phases. However, only 20% are actually discovered.
RQA – QUALITY Management Capability helps reduce the defect rate by enabling a thorough and early detection of issues in requirements specifications, thus reducing the cost induced by requirement reviews.
The quality management capability positioning
The SES ENGINEERING Studio provides means to connect to a large number of engineering tools (requirements management tools, UML/SysML/MBSE tools, simulation tools, MS Excel sheets, MS Word documents…), accessing the key
elements managed in those tools, and provide an automatic inspection based on the CCC criteria.
CCC – Correctness, Consistency and Completeness– are the three quality dimensions to thoroughly analyze any engineering artifact. While Correctness is focused on the quality of individual items, Consistency and Completeness consider the whole specification (document, model…) or set of specifications to detect missing elements, as well as the lack of consistency among them.
Requirements quality analysis
RQA-QUALITY Management Capability provides an extensive set of quality metrics to analyze different types of requirements repositories: IBM DOORS (both classic and NG), PTC Windchill Requirements, 3D Experience Requirements Manager, Siemens Polarion, Siemens Teamcenter, DS Reqtify, MS Word, MS Excel, ReqIF and OSLC compliant information sources.
These metrics follow the CCC approach and include extensibility and customization mechanisms which enable increasing the number of metrics by using parameterizable metrics (metrics that can easily be configured by the end-users), custom-code metrics (metrics which can be coded by advanced end-users), and checklist-based metrics (which enable a manual-oriented inspection).
The Concept of Quality Project
The Quality Management Capability of the SES ENGINEERING Studio uses the notion of Quality Project to manage the quality of large and heterogeneous sets of engineering items in one single inspection process. A Quality Project addresses the quality of a set of requirements modules, architectures, models, documents and other types of engineering items, allowing a proper and global quality management activity. A Quality Project, which might contain requirements documents, UML/SysML models, physical models, textual documents, spreadsheets…, will not only provide correctness checking, but also an overall completeness and consistency check.
Moreover, since every project is different, and every piece of that project is different, the Quality Management Capability allows a flexible mechanism to assess different elements within the same Quality Project with a different combination of quality metrics.
Quality along the Supply Chain
The SES ENGINEERING Studio offers functions to reduce inefficient interactions between OEMs and suppliers throughout the supply chain by allowing all parties to share a common quality view. OEMs can establish a set of metrics in RQA-QUALITY Management Capability (a quality certificate) and share this certificate with everyone in the supply chain. After that, the OEM can receive periodic quality reports from the supplier allowing the overview of the results using a simple procedure.
Safety-critical systems development must comply with standards. Beside the out-of-the-box metrics, knowledge libraries are available on The REUSE Company’s website: the rules described in the INCOSE Guide for Writing Requirements, the recommendations in the NASA’s Systems Engineering Handbook, the requirements patterns defined by EARS (the Easy Approach to Requirements Syntax) and SOPHIST, the glossary, patterns and quality rules defined in the ECSS-standards followed by the space industry… You can also create your own set of metrics and share it in the form of a quality library.
The quality management capability within the ecosystem of capabilities of the SES ENGINEERING Studio
- The rules used to create new systems engineering items (requirements, model names, messages names, etc.) in RAT – AUTHORING Tool based on the CCC approach (Correctness, Consistency, Completeness), are defined in the RQA – QUALITY Management Capability.
- KM – KNOWLEDGE Management defines the textual patterns used by some of the quality metrics managed in the RQA – QUALITY Management Capability. KM – KNOWLEDGE Management also enables to define the controlled vocabulary and knowledge structures used during the quality inspection by the RQA – QUALITY Management Capability.
- The V&V Management Capability goes beyond the concepts of quality management defined in RQA into a Verification and Validation stage, thus reusing all the quality metrics, quality analysis and reports defined in the RQA – QUALITY Management Capability into the V&V Capability.
- TRACEABILITY Management Capability shares the connectivity capabilities and brings additional functionality to quality management, like hyper-traceability.