RQA - QUALITY Studio®
A SMARTer way to improve the quality of your requirements, documents, and models.
RQA – QUALITY Studio® is a specialized product of SES ENGINEERING Studio (SES), fully devoted to Quality Assessment and Management of whatever work product produced along the System Life cycle. It can either work inside SES as a capability or as a Stand-Alone product.
Quality analysis of requirements, documents and models
RQA – QUALITY Studio® allows the engineer to define, calculate, manage, and report quality for any work product accessed from any available connection in SES ENGINEERING Studio (requirements, logical models, functional models, simulations, test cases, physical assemblies, risks, etc.)
As is well known in the Systems Engineering domain, 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. Automating 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 Studio® analyzes requirements and other engineering items using the agreed-best practices and rules (including the INCOSE Guide to Writing Requirements), checklists, policies, etc. to identify defects, inconsistencies, and incomplete information.
specifications is a task that requires several
steps and that can be very time-consuming when not realized automatically.
caused by flaws at all levels in your system
engineering items can be achieved by
automating peer-reviewing and quality