Systems Engineering effectiveness monitoring

Project risks reduction for problem prevention

Optimization of the “Time-Cost-Quality” trade-off

Better reactivity with accelerated decision-making

System knowledge management to fine-tune predictive analysis models and project monitoring

SQUORE for Systems Engineering

Applied to Systems Engineering effectiveness, SQUORE is the ultimate dashboard for project teams, providing continuous and centralized overview along the 3 major axes of project performance monitoring:
• Meeting of delivery deadlines
• Adherence to Budgets constraints
• Quality of the achieved system

SQUORE helps action making by providing the details and trend of indicators related to these 3 axes: trade-offs between cost, time schedule and technical goals are optimized and justified by objective data. SQUORE solution for Systems Engineering performance is based on international concepts and standards:
• SEI : CMMI Capability Maturity Model Integration
• ISO/IEC 15939 Software Engineering – Software Measurement Process
• ISO/IEC 15288 Software and Systems Engineering — Systems and Software Engineering Life Cycle Processes
and most of all, the SE Leading Indicators Guide V2 issued in 2010 by the International Council on Systems Engineering INCOSE.

What is a leading indicator for Systems Engineering ?

A SE leading indicator is a measure allowing to evaluate how the effectiveness of a project activity is likely to affect system performance objectives (in reference to “Systems Engineering Measurement Primer” published by the INCOSE in 2010). A leading indicator may be an isolated measure, or a set of measures, which will be used for predictive correlations and for establishing trends.
For example, if requirements validation rate equals 20% a few days before functional requirements review, while their volatility exceeds 50%, this review shall be immediately postponed in order to avoid either process repetition (impacting on-time delivery) or team expansion to comply with time schedule (impacting cost).
INCOSE further recommends an exhaustive and regular collection of data involved in the production of SELI (Systems Engineering Leading Indicators), on a minimal monthly basis (or more during critical phases): implementing an automated and centralized solution is thus essential


SQUORE for Systems Engineering implements INCOSE SE leading indicators:

Unique double drill-down combined with powerful filtering allowing
> to focus on the performance of an aggregat or item within a hierarchy of artifacts produced by IS processes (requirements, tests, CR/PR, models, applications, documentation, review, cost…). Nonconformities and regressions are immediately detected (ambiguous requirement, non standard architecture diagram, pending change requirement, budget overruns,…).
> OR to focus on a specific indicator (or a combination of indicators) to understand and evaluate “how a specific project activity is likely to affect system performance objective”. For example, how Requirements volatility may affect functional suitability.
Analysis models based on international industrial standards (SQuaRE 2510, INCOSE SE Leading Indicators Guide,…), for easy monitoring and fair comparison of the progress and performance of project portfolios,on a regular basis or at key milestones.
Easier decision-making via a graphical and role-based user interface, with customizable charts according to in house or desired practices.
Automated generation of remediation and action plans aligned with predefined rules et triggers
Capitalization of project data to establish correlations between attributes (i.e test completion) and external characteristics(i.e reliability), and to refine predictive trend analysis for more accurate project monitoring.