BOEHM CSSE

Leveraging Systems Thinking in Business Process Design by Rick Hefner

The Systems Engineering (SE) methodology can be used to address the commonalities in structuring, analyzing, and optimizing systems, regardless of whether they pertain to physical products or operational workflows. This presentation examines the application of systems thinking principles to the design and optimization of business processes, facilitating a comprehensive understanding of the organizational dynamics; enabling the identification of inefficiencies, bottlenecks and opportunities for improvement.

The Convergence of COSYSMO with Model Based Systems Engineering by Barry Papke

This presentation describes research on the convergence of COSYSMO and Model Based Systems Engineering (MBSE). Topics presented will include updated COSYSMO counting rules incorporating reuse information for driver size selection and assignment in the SySML model, development of a COSYSMO profile, implemented within CATIA Magic Systems of Systems Architecture .

AI Assisted MBSE (AIM Process) by Doug Rosenberg

This presentation highlights the significance of software in system specifications and introduces an approach by using Artificial Intelligence (AI) as a subject matter expert. The presentation sheds the light on the overlooked, yet crucial, role of software in SysML and MBSE and steps into the future where Artificial Intelligence (AI) as not just a tool but a collaborator in systems engineering.

Baselining AI’s Systems Engineering Performance in Cost Modeling by Ryan Bell

In the rapidly evolving field of Artificial Intelligence (AI), Large Language Models (LLMs) have demonstrated unprecedented capabilities in understanding and generating language. This presentation introduces a component of SysEngBench, a novel benchmark specifically designed to evaluate LLMs in the context of systems engineering concepts and applications.

Building and Modifying Systems Models with Gen AI by Ryan Longshore

As Artificial Intelligence (AI) continues to rapidly advance, Large Language Models (LLMs) have proven capable of not only interacting with humans using natural language, but writing and modifying software code. This presentation focuses on utilizing different techniques such as zero shot and few shot learning to build and model SysML v2 models.

Research on Challenges for Integating Measurement and Control Mechanisms into Engineered Systems Viewed through the Prism of Future Systems by Ken Nidiffer

Fundamental shifts in software and system engineering are taking place in government, academia, and industry to ensure technological superiority. This presentation addresses systems engineering challenges for integration measurement and control mechanisms into future systems throughout the system acquisition lifecycle. Its focus is on one of the National Defense Modernizations Priorities, Cyber Security.

Digital Engineering – Is it any better? by Cheryl Jones

Digital Engineering (DE) represents a paradigm shift in the way system and software engineering is conducted, leveraging digital technologies to drive innovation, improve collaboration, and deliver higher-quality products and systems in less time and at reduced costs. The purpose of this presentation is to discuss the ongoing work that has occurred over the past years in defining measures that will be practical and useful in determining the benefits of DE.

The Role of Cost in Digital Engineering by Allison Moeller

Enterprise and portfolio management strive to balance performance, strategic objectives, and resources across broad agency-wide systems of systems. This presentation will discuss the potential of cost estimating at the enterprise level within a digital environment to coordinate and balance priorities across portfolios of programs and projects with common objectives and requirements to meet their mission unique goals, and the importance of “getting data sources and structure right” from the onset of the DE revolution.

Cultivating Effective DevSecOps Culture: Expectations and Preliminary Insights by Bill Nichols

DevSecOps (which integrates development, security and operations in an effort to address productivity and security) is a key implementation approach as part of the Department of Defense’s (DoD’s) Software Modernization Plan to modernize software development and reduce lead times. This ongoing study focuses on examining the processes and practices associated with the cultural factors to identify barriers and enablers to successful DevSecOps implementation.

Causal Discovery at the SEI: A Seven Year perspective by Michael Konrad

The SEI has been applying Causal Discovery and Inference (CDi) in a variety of projects for the past 7 years in order to better understand causality with respect to the factors that drive software development costs, quality and security; the factors that drive systems engineering and success; and AI/ML classifier prediction accuracy robustness across various scenarios/edge cases. This presentation will define and make the case for increased use of CDI in systems and software engineering research practices and will address the broader lessons learned by the SEI across projects.

Unveiling the Power of Regression Trees and Random Forests in Software Maintenance Cost Prediction by Brad Clark

This presentation shows our results from exploring machine learning (ML) in analyzing software engineering cost data, using the Software Sustainment Initiative data set consisting of various software cost factors to train the models to predict total release hours. The resulting models will be evaluated against traditional cost estimating relationships presented at this and other forums, highlighting the potential of regression trees and random forests as effective tools for software cost estimation.

Workshop: Towards Estimating Schedule for Systems Engineering Projects by Jim Alstad