Model-Based Systems Engineering (MBSE) has several benefits that make it a valuable practice for engineering and system development. Here are some of the major factors why MBSE pays off:
- Improved Communication: Models are easier to understand and communicate compared to traditional textual requirements documents.
- Early Detection of Design Flaws: MBSE enables engineers to build and test models of systems before physical prototypes are built.
- Better Requirement Management: MBSE provides traceability between requirements, design, and testing.
- Increased Efficiency: MBSE enables engineers to automate repetitive tasks, reducing errors and increasing efficiency.
- Improved Verification and Validation: MBSE enables engineers to simulate and test system behavior before physical prototypes are built.
But is there a chance to really measure, if it pays off?
I recently found a research study from 2021, "Return on Investment in Model-Based Systems Engineering Software Tools" by James B. Duffy et. al.
The study discusses research results that analyze software tools used in systems engineering. The analysis includes both financial and value metrics to determine the return on investment and value of the software tools.
The results show that investments in software tools create positive results and have significant financial returns, with returns of five to ten times the investment amount being expected. The research provides a method to measure the value of organizational investments in system engineering software tools, making it easier for the system engineering community to provide informative decision packages to executives. The text provides a detailed breakdown of the financial and value metrics for different types of software tool classes, such as Base, Stand Alone, and Integrated tools, and shows how the values differ based on the company's size and the SE capabilities they perform.
So, what do you think? Can approaches like this help support the implementation of MBSE?
LinkedIn Version https://tinyurl.com/4bweadm2