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Transform Engineering Complexity into Competitive Advantage

Engineering organizations face growing pressure to deliver more capable systems in less time while controlling cost and reducing risk. Digital engineering provides a connected, model-based approach that unifies disciplines, improves collaboration, and enables informed decisions throughout the system life cycle. This white paper examines the principles, technologies, and best practices behind digital engineering, showing how organizations can accelerate development, reduce costly rework, strengthen system performance, and build the foundation for continuous innovation in an increasingly complex world.

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Accelerate Mission-Critical Systems with Digital Engineering

Engineering modern aerospace and defense systems demands more than isolated design tools. By connecting mission engineering, model-based systems engineering, autonomy development, and virtual testing into a continuous digital workflow, organizations can make better decisions earlier, reduce integration risk, accelerate development, and deliver more capable systems with greater confidence.

Explore the resources below to see how leading organizations are applying these practices across system design, autonomous systems development, and model-based testing and validation. Together, these e-books provide a practical foundation for building a modern digital engineering strategy.

Digital Engineering Resources for Aerospace & Defense 

Explore the following curated resources to deepen your understanding of how digital engineering can help your workflows, production speed, and profit margins. 

Advancing System Operations in Aerospace and Defense

Exploring the Future of System Design for Mission Engineering in Autonomous Systems

Defense programs falter when physics, mission context, and architecture diverge. So how can innovators address this challenge? This e-book shows how integrating digital mission engineering (DME) and model-based systems engineering (MBSE) creates a reusable, traceable digital thread that accelerates trades, prevents design escapes, and strengthens safety evidence across complex systems.

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Advancing System Operations in Aerospace and Defense

Autonomous Sensing, Perception, Software Training, and Development

Learn how integrated digital engineering workflows close the loop between physics, mission context, and software behavior. Virtualizing sensors and autonomy stacks accelerates evidence generation, democratizes expertise, and strengthens decisions that drive mission effectiveness and survivability.

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System testing validation

Accurate Testing and Validation of Autonomous Systems

By combining model-in-loop (MiL), software-in-loop (SiL), and hardware-in-loop (HiL) validation, DME, and open, scalable toolchains, teams can test system‑of‑systems behavior earlier, evaluate cyber‑resilience, compress schedules, and reuse trusted models to sustain mission advantage as autonomy and software complexity grow.

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Advancing System Operations in Aerospace and Defense

A Perspective on the Adoption of Digital Engineering Within an Enterprise

Get a comprehensive overview of digital engineering’s foundations, enterprise adoption requirements, and life cycle impact. This white paper shares how open, integrated ecosystems reduce risk, improve decisions, and strengthen performance across modern, interconnected systems.

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