As modern software systems become more complex and interconnected, the limitations of traditional document-based engineering approaches have become increasingly clear. Manual methods of requirements documentation, design and architecture representation, and verification and validation efforts often result in inconsistencies, communication gaps, and delayed discovery of defects. This is often due to the nature of these distinct, non-connected artifacts becoming rapidly desynchronized. When each project member or team keeps their own copy of an artifact, artifacts do not maintain synchronicity. These issues are amplified in systems that must evolve quickly to meet emerging mission demands or security threats. Model-Based Systems Engineering, commonly known as MBSE, provides a structured solution by replacing static and desynchronized documentation with interconnected, digital system models. Through this model-centric approach, engineers gain the ability to visualize relationships, dependencies, and constraints in real time, allowing for faster and more accurate decision-making across development teams.

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The Use of Model-Based Systems Engineering in Agile Software Development

  • Dallas Rosson

摘要

As modern software systems become more complex and interconnected, the limitations of traditional document-based engineering approaches have become increasingly clear. Manual methods of requirements documentation, design and architecture representation, and verification and validation efforts often result in inconsistencies, communication gaps, and delayed discovery of defects. This is often due to the nature of these distinct, non-connected artifacts becoming rapidly desynchronized. When each project member or team keeps their own copy of an artifact, artifacts do not maintain synchronicity. These issues are amplified in systems that must evolve quickly to meet emerging mission demands or security threats. Model-Based Systems Engineering, commonly known as MBSE, provides a structured solution by replacing static and desynchronized documentation with interconnected, digital system models. Through this model-centric approach, engineers gain the ability to visualize relationships, dependencies, and constraints in real time, allowing for faster and more accurate decision-making across development teams.